23.1.5 Remote Sensing Hardware Implementations, Vehicles, UAV Systems, Drones, UAS

Woods, A.C., La, H.M.,
A Novel Potential Field Controller for Use on Aerial Robots,
SMCS(49), No. 4, April 2019, pp. 665-676.
IEEE DOI 1903
Mathematical model, Drones, Robot sensing systems, Earth, Laser radar, Aerial robots, drones, potential field control, unmanned autonomous vehicles (UAV) BibRef

Zahran, S.[Shady], Moussa, A.[Adel], El-Sheimy, N.[Naser],
Enhanced Drone Navigation in GNSS Denied Environment Using VDM and Hall Effect Sensor,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Hein, D.[Daniel], Kraft, T.[Thomas], Brauchle, J.[Jörg], Berger, R.[Ralf],
Integrated UAV-Based Real-Time Mapping for Security Applications,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Buters, T.M.[Todd M.], Bateman, P.W.[Philip W.], Robinson, T.[Todd], Belton, D.[David], Dixon, K.W.[Kingsley W.], Cross, A.T.[Adam T.],
Methodological Ambiguity and Inconsistency Constrain Unmanned Aerial Vehicles as A Silver Bullet for Monitoring Ecological Restoration,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Boyd, J.,
Drones survey the great barrier reef: Aided by AI, hyperspectral cameras can distinguish bleached from unbleached coral,
Spectrum(56), No. 7, July 2019, pp. 7-9.
IEEE DOI 1907
BibRef

Yao, H.[Huang], Qin, R.J.[Rong-Jun], Chen, X.Y.[Xiao-Yu],
Unmanned Aerial Vehicle for Remote Sensing Applications: A Review,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Al-Najjar, H.A.H.[Husam A. H.], Kalantar, B.[Bahareh], Pradhan, B.[Biswajeet], Saeidi, V.[Vahideh], Halin, A.A.[Alfian Abdul], Ueda, N.[Naonori], Mansor, S.[Shattri],
Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Rodarmel, C.A., Lee, M.P., Brodie, K.L., Spore, N.J., Bruder, B.,
Rigorous Error Modeling for sUAS Acquired Image-Derived Point Clouds,
GeoRS(57), No. 8, August 2019, pp. 6240-6253.
IEEE DOI 1908
Small UAS. autonomous aerial vehicles, geophysical image processing, image matching, image motion analysis, remote sensing, unmanned aircraft system BibRef

Wyngaard, J.[Jane], Barbieri, L.[Lindsay], Thomer, A.[Andrea], Adams, J.[Josip], Sullivan, D.[Don], Crosby, C.[Christopher], Parr, C.[Cynthia], Klump, J.[Jens], Shrestha, S.R.[Sudhir Raj], Bell, T.[Tom],
Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practicse Development,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Böhler, J.E.[Jonas E.], Schaepman, M.E.[Michael E.], Kneubühler, M.[Mathias],
Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Horstrand, P.[Pablo], López, J.F.[José Fco.], López, S.[Sebastián], Leppälampi, T.[Tapio], Pusenius, M.[Markku], Rooker, M.[Martijn],
A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Bhardwaj, A.[Anshuman], Sam, L.[Lydia], Martín-Torres, F.J.[F. Javier], Zorzano, M.P.[María-Paz], Luque, J.A.R.[Juan Antonio Ramírez],
UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Tait, L.[Leigh], Bind, J.[Jochen], Charan-Dixon, H.[Hannah], Hawes, I.[Ian], Pirker, J.[John], Schiel, D.[David],
Unmanned Aerial Vehicles (UAVs) for Monitoring Macroalgal Biodiversity: Comparison of RGB and Multispectral Imaging Sensors for Biodiversity Assessments,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Mesas-Carrascosa, F.J.[Francisco Javier], Porras, F.P.[Fernando Pérez], Triviño-Tarradas, P.[Paula], Meroño de Larriva, J.E.[Jose Emilio], García-Ferrer, A.[Alfonso],
Project-Based Learning Applied to Unmanned Aerial Systems and Remote Sensing,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Iglesias, L.[Luis], de Santos-Berbel, C.[César], Pascual, V.[Valero], Castro, M.[María],
Using Small Unmanned Aerial Vehicle in 3D Modeling of Highways with Tree-Covered Roadsides to Estimate Sight Distance,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Yan, Y.[Yanan], Deng, L.[Lei], Liu, X.L.[Xian-Lin], Zhu, L.[Lin],
Application of UAV-Based Multi-angle Hyperspectral Remote Sensing in Fine Vegetation Classification,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Babbel, B.J.[Benjamin J.], Olsen, M.J.[Michael J.], Che, E.[Erzhuo], Leshchinsky, B.A.[Ben A.], Simpson, C.[Chase], Dafni, J.[Jake],
Evaluation of Uncrewed Aircraft Systems' Lidar Data Quality,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Lin, Y.C.[Yi-Chun], Cheng, Y.T.[Yi-Ting], Zhou, T.[Tian], Ravi, R.[Radhika], Hasheminasab, S.M.[Seyyed Meghdad], Flatt, J.E.[John Evan], Troy, C.[Cary], Habib, A.[Ayman],
Evaluation of UAV LiDAR for Mapping Coastal Environments,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Wilkinson, B.[Benjamin], Lassiter, H.A.[H. Andrew], Abd-Elrahman, A.[Amr], Carthy, R.R.[Raymond R.], Ifju, P.[Peter], Broadbent, E.[Eben], Grimes, N.[Nathan],
Geometric Targets for UAS Lidar,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Tu, Y.H.[Yu-Hsuan], Phinn, S.[Stuart], Johansen, K.[Kasper], Robson, A.[Andrew], Wu, D.[Dan],
Optimising drone flight planning for measuring horticultural tree crop structure,
PandRS(160), 2020, pp. 83-96.
Elsevier DOI 2001
Drone, UAS, UAV, Flight planning, Horticulture, Tree structure measurement BibRef

Zhou, Y.L.[Yi-Lin], Rupnik, E.[Ewelina], Meynard, C.[Christophe], Thom, C.[Christian], Pierrot-Deseilligny, M.[Marc],
Simulation and Analysis of Photogrammetric UAV Image Blocks: Influence of Camera Calibration Error,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Fawcett, D.[Dominic], Panigada, C.[Cinzia], Tagliabue, G.[Giulia], Boschetti, M.[Mirco], Celesti, M.[Marco], Evdokimov, A.[Anton], Biriukova, K.[Khelvi], Colombo, R.[Roberto], Miglietta, F.[Franco], Rascher, U.[Uwe], Anderson, K.[Karen],
Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Zhang, H.[Hao], Zhang, B.[Bing], Wei, Z.Q.[Zhi-Qi], Wang, C.[Chenze], Huang, Q.[Qiao],
Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Catapano, I.[Ilaria], Gennarelli, G.[Gianluca], Ludeno, G.[Giovanni], Noviello, C.[Carlo], Esposito, G.[Giuseppe], Renga, A.[Alfredo], Fasano, G.[Giancarmine], Soldovieri, F.[Francesco],
Small Multicopter-UAV-Based Radar Imaging: Performance Assessment for a Single Flight Track,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Ashour, R.[Reem], Taha, T.[Tarek], Dias, J.M.M.[Jorge Manuel Miranda], Seneviratne, L.[Lakmal], Almoosa, N.[Nawaf],
Exploration for Object Mapping Guided by Environmental Semantics using UAVs,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Jang, G.J.[Gyu-Jin], Kim, J.[Jaeyoung], Yu, J.K.[Ju-Kyung], Kim, H.J.[Hak-Jin], Kim, Y.[Yoonha], Kim, D.W.[Dong-Wook], Kim, K.H.[Kyung-Hwan], Lee, C.W.[Chang Woo], Chung, Y.S.[Yong Suk],
Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Tmušic, G.[Goran], Manfreda, S.[Salvatore], Aasen, H.[Helge], James, M.R.[Mike R.], Gonçalves, G.[Gil], Ben-Dor, E.[Eyal], Brook, A.[Anna], Polinova, M.[Maria], Arranz, J.J.[Jose Juan], Mészáros, J.[János], Zhuang, R.[Ruodan], Johansen, K.[Kasper], Malbeteau, Y.[Yoann], de Lima, I.P.[Isabel Pedroso], Davids, C.[Corine], Herban, S.[Sorin], McCabe, M.F.[Matthew F.],
Current Practices in UAS-based Environmental Monitoring,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Qiu, Z.S.[Zeng-Shuai], Zhuang, Y.[Yan], Hu, H.S.[Huo-Sheng], Wang, W.[Wei],
Using Stacked Sparse Auto-Encoder and Superpixel CRF for Long-Term Visual Scene Understanding of UGVs,
SMCS(50), No. 4, April 2020, pp. 1331-1342.
IEEE DOI 2004
Feature extraction, Predictive models, Training, Visualization, Prediction algorithms, Algorithm design and analysis, stacked sparse auto-encoder BibRef

Casella, V.[Vittorio], Chiabrando, F.[Filiberto], Franzini, M.[Marica], Manzino, A.M.[Ambrogio Maria],
Accuracy Assessment of a UAV Block by Different Software Packages, Processing Schemes and Validation Strategies,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Latte, N.[Nicolas], Gaucher, P.[Peter], Bolyn, C.[Corentin], Lejeune, P.[Philippe], Michez, A.[Adrien],
Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large Scale Aerial Photogrammetry,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Lee, J.S.[Jung-Shin], Sung, C.K.[Chang-Ky], Oh, J.[Juhyun], Han, K.J.[Kyung-Jun], Lee, S.[Sangwoo], Yu, M.J.[Myeong-Jong],
A Pragmatic Approach to the Design of Advanced Precision Terrain-Aided Navigation for UAVs and Its Verification,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Martínez, J.S.[Jorge Sancho], Fernández, Y.B.[Yadira Bajón], Leinster, P.[Paul], Casado, M.R.[Mónica Rivas],
Combining Unmanned Aircraft Systems and Image Processing for Wastewater Treatment Plant Asset Inspection,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Maimaitijiang, M.[Maitiniyazi], Sagan, V.[Vasit], Sidike, P.[Paheding], Daloye, A.M.[Ahmad M.], Erkbol, H.[Hasanjan], Fritschi, F.B.[Felix B.],
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Dilmurat, K.[Kamila], Sagan, V.[Vasit], Maimaitijiang, M.[Maitiniyazi], Moose, S.[Stephen], Fritschi, F.B.[Felix B.],
Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Döpper, V.[Veronika], Gränzig, T.[Tobias], Kleinschmit, B.[Birgit], Förster, M.[Michael],
Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Son, S.W.[Seung Woo], Kim, D.W.[Dong Woo], Sung, W.G.[Woong Gi], Yu, J.J.[Jae Jin],
Integrating UAV and TLS Approaches for Environmental Management: A Case Study of a Waste Stockpile Area,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Feng, Q.L.[Quan-Long], Yang, J.Y.[Jian-Yu], Liu, Y.M.[Yi-Ming], Ou, C.[Cong], Zhu, D.[Dehai], Niu, B.[Bowen], Liu, J.T.[Jian-Tao], Li, B.G.[Bao-Guo],
Multi-Temporal Unmanned Aerial Vehicle Remote Sensing for Vegetable Mapping Using an Attention-Based Recurrent Convolutional Neural Network,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lyu, Y.[Ye], Vosselman, G.[George], Xia, G.S.[Gui-Song], Yilmaz, A.[Alper], Yang, M.Y.[Michael Ying],
UAVid: A semantic segmentation dataset for UAV imagery,
PandRS(165), 2020, pp. 108-119.
Elsevier DOI 2006
UAV, Semantic segmentation, Deep learning, Dataset BibRef

Hegarty-Craver, M.[Meghan], Polly, J.[Jason], O'Neil, M.[Margaret], Ujeneza, N.[Noel], Rineer, J.[James], Beach, R.H.[Robert H.], Lapidus, D.[Daniel], Temple, D.S.[Dorota S.],
Remote Crop Mapping at Scale: Using Satellite Imagery and UAV-Acquired Data as Ground Truth,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Gómez-López, J.M.[José Miguel], Pérez-García, J.L.[José Luis], Mozas-Calvache, A.T.[Antonio Tomás], Delgado-García, J.[Jorge],
Mission Flight Planning of RPAS for Photogrammetric Studies in Complex Scenes,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Hammond, J.E.[Joshua E.], Vernon, C.A.[Cory A.], Okeson, T.J.[Trent J.], Barrett, B.J.[Benjamin J.], Arce, S.[Samuel], Newell, V.[Valerie], Janson, J.[Joseph], Franke, K.W.[Kevin W.], Hedengren, J.D.[John D.],
Survey of 8 UAV Set-Covering Algorithms for Terrain Photogrammetry,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Ferrer-González, E.[Ezequiel], Agüera-Vega, F.[Francisco], Carvajal-Ramírez, F.[Fernando], Martínez-Carricondo, P.[Patricio],
UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Barker, L.D.L.[Laughlin D. L.], Jakuba, M.V.[Michael V.], Bowen, A.D.[Andrew D.], German, C.R.[Christopher R.], Maksym, T.[Ted], Mayer, L.[Larry], Boetius, A.[Antje], Dutrieux, P.[Pierre], Whitcomb, L.L.[Louis L.],
Scientific Challenges and Present Capabilities in Underwater Robotic Vehicle Design and Navigation for Oceanographic Exploration Under-Ice,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Bayraktar, E.[Ertugrul], Basarkan, M.E.[Muhammed Enes], Celebi, N.[Numan],
A low-cost UAV framework towards ornamental plant detection and counting in the wild,
PandRS(167), 2020, pp. 1-11.
Elsevier DOI 2008
Object counting, Plant detection, Remote sensing, Aerial imagery, Geometrical relations BibRef

Luoma, S.[Sierra], Zhou, X.B.[Xiao-Bing],
Construction of a Fluxgate Magnetic Gradiometer for Integration with an Unmanned Aircraft System,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
UAS Sensor development. BibRef

Piciarelli, C.[Claudio], Foresti, G.L.[Gian Luca],
Drone swarm patrolling with uneven coverage requirements,
IET-CV(14), No. 7, October 2020, pp. 452-461.
DOI Link 2010
BibRef

Pedro, D.[Dário], Matos-Carvalho, J.P.[João P.], Azevedo, F.[Fábio], Sacoto-Martins, R.[Ricardo], Bernardo, L.[Luís], Campos, L.[Luís], Fonseca, J.M.[José M.], Mora, A.[André],
FFAU: Framework for Fully Autonomous UAVs,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Eskandari, R.[Roghieh], Mahdianpari, M.[Masoud], Mohammadimanesh, F.[Fariba], Salehi, B.[Bahram], Brisco, B.[Brian], Homayouni, S.[Saeid],
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Kapetanovic, N.[Nadir], Kordic, B.[Branko], Vasilijevic, A.[Antonio], Nad, Ð.[Ðula], Miškovic, N.[Nikola],
Autonomous Vehicles Mapping Plitvice Lakes National Park, Croatia,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Chaudhry, M.H.[Muhammad Hamid], Ahmad, A.[Anuar], Gulzar, Q.[Qudsia],
Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Mittal, P.[Payal], Singh, R.[Raman], Sharma, A.[Akashdeep],
Deep learning-based object detection in low-altitude UAV datasets: A survey,
IVC(104), 2020, pp. 104046.
Elsevier DOI 2012
Deep learning, Object detection, Unmanned aerial vehicles, Low-altitude aerial datasets BibRef

Mesas-Carrascosa, F.J.[Francisco Javier],
UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Hu, T.Y.[Tian-Yu], Sun, X.L.[Xi-Liang], Su, Y.J.[Yan-Jun], Guan, H.C.[Hong-Can], Sun, Q.H.[Qian-Hui], Kelly, M.[Maggi], Guo, Q.H.[Qing-Hua],
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Melián, J.M.[José M.], Jiménez, A.[Adán], Díaz, M.[María], Morales, A.[Alejandro], Horstrand, P.[Pablo], Guerra, R.[Raúl], López, S.[Sebastián], López, J.F.[José F.],
Real-Time Hyperspectral Data Transmission for UAV-Based Acquisition Platforms,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Zhang, H.D.[Hai-Dong], Wang, L.Q.[Ling-Qing], Tian, T.[Ting], Yin, J.H.[Jiang-Hai],
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Witczuk, J.[Julia], Pagacz, S.[Stanislaw],
Evaluating Alternative Flight Plans in Thermal Drone Wildlife Surveys: Simulation Study,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Vélez-Nicolás, M.[Mercedes], García-López, S.[Santiago], Barbero, L.[Luis], Ruiz-Ortiz, V.[Verónica], Sánchez-Bellón, Á.[Ángel],
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Mortier, J.[Jan], Pagès, G.[Gaël], Vilà-Valls, J.[Jordi],
Robust TOA-Based UAS Navigation under Model Mismatch in GNSS-Denied Harsh Environments,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Fu, D.[Dong], Xia, H.[Hao], Qiao, Y.Y.[Yan-You],
Monocular Visual-Inertial Navigation for Dynamic Environment,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Nuijten, R.J.G.[Rik J. G.], Coops, N.C.[Nicholas C.], Watson, C.[Catherine], Theberge, D.[Dustin],
Monitoring the Structure of Regenerating Vegetation Using Drone-Based Digital Aerial Photogrammetry,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Grau, J.[Joan], Liang, K.[Kang], Ogilvie, J.[Jae], Arp, P.[Paul], Li, S.[Sheng], Robertson, B.[Bonnie], Meng, F.R.[Fan-Rui],
Improved Accuracy of Riparian Zone Mapping Using Near Ground Unmanned Aerial Vehicle and Photogrammetry Method,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Fetai, B.[Bujar], Racic, M.[Matej], Lisec, A.[Anka],
Deep Learning for Detection of Visible Land Boundaries from UAV Imagery,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Fetai, B.[Bujar], Racic, M.[Matej], Tekavec, J., Lisec, A.[Anka],
Detection of Visible Boundaries From UAV Images Using U-net,
ISPRS20(B1:437-442).
DOI Link 2012
BibRef

Miranda, A.[Alejandro], Catalán, G.[Germán], Altamirano, A.[Adison], Zamorano-Elgueta, C.[Carlos], Cavieres, M.[Manuel], Guerra, J.[Javier], Mola-Yudego, B.[Blas],
How Much Can We See from a UAV-Mounted Regular Camera? Remote Sensing-Based Estimation of Forest Attributes in South American Native Forests,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

de Castro, A.I.[Ana I.], Shi, Y.[Yeyin], Maja, J.M.[Joe Mari], Peña, J.M.[Jose M.],
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Kyriou, A.[Aggeliki], Nikolakopoulos, K.[Konstantinos], Koukouvelas, I.[Ioannis],
How Image Acquisition Geometry of UAV Campaigns Affects the Derived Products and Their Accuracy in Areas with Complex Geomorphology,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Wang, D.J.[Dong-Jia], Lian, B.W.[Bao-Wang], Tang, C.K.[Cheng-Kai],
UGV-UAV robust cooperative positioning algorithm with object detection,
IET-ITS(15), No. 7, 2021, pp. 851-862.
DOI Link 2106
BibRef

Krasuski, K.[Kamil], Wierzbicki, D.[Damian], Bakula, M.[Mieczyslaw],
Improvement of UAV Positioning Performance Based on EGNOS+SDCM Solution,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Yi, S.H.[Shu-Hua], Iwahana, G.[Go], Qin, Y.[Yu], Sun, Y.[Yi],
Applications of UAVs in Cold Region Ecological and Environmental Studies,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Gili, P.[Piero], Civera, M.[Marco], Roy, R.[Rinto], Surace, C.[Cecilia],
An Unmanned Lighter-Than-Air Platform for Large Scale Land Monitoring,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Li, K.Y.[Kai-Yun], Burnside, N.G.[Niall G.], de Lima, R.S.[Raul Sampaio], Peciña, M.V.[Miguel Villoslada], Sepp, K.[Karli], Pinheiro, V.H.C.[Victor Henrique Cabral], de Lima, B.R.C.A.[Bruno Rucy Carneiro Alves], Yang, M.D.[Ming-Der], Vain, A.[Ants], Sepp, K.[Kalev],
An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Tait, L.W.[Leigh W.], Orchard, S.[Shane], Schiel, D.R.[David R.],
Missing the Forest and the Trees: Utility, Limits and Caveats for Drone Imaging of Coastal Marine Ecosystems,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Saponaro, M.[Mirko], Agapiou, A.[Athos], Hadjimitsis, D.G.[Diofantos G.], Tarantino, E.[Eufemia],
Influence of Spatial Resolution for Vegetation Indices' Extraction Using Visible Bands from Unmanned Aerial Vehicles' Orthomosaics Datasets,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Alsayed, A.[Ahmad], Yunusa-Kaltungo, A.[Akilu], Quinn, M.K.[Mark K.], Arvin, F.[Farshad], Nabawy, M.R.A.[Mostafa R. A.],
Drone-Assisted Confined Space Inspection and Stockpile Volume Estimation,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Bonnin-Pascual, F.[Francisco], Garcia-Fidalgo, E.[Emilio], Company-Corcoles, J.P.[Joan P.], Ortiz, A.[Alberto],
MUSSOL: A Micro-UAS to Survey Ship Cargo hOLds,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Žabota, B.[Barbara], Kobal, M.[Milan],
Accuracy Assessment of UAV-Photogrammetric-Derived Products Using PPK and GCPs in Challenging Terrains: In Search of Optimized Rockfall Mapping,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Chang, A.[Anjin], Jung, J.H.[Jin-Ha], Landivar, J.[Jose], Landivar, J.[Juan], Barker, B.[Bryan], Ghosh, R.[Rajib],
Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Liu, J.C.[Jian-Chen], Xu, W.[Wei], Guo, B.X.[Bing-Xuan], Zhou, G.[Gang], Zhu, H.C.[Hong-Chun],
Accurate Mapping Method for UAV Photogrammetry Without Ground Control Points in the Map Projection Frame,
GeoRS(59), No. 11, November 2021, pp. 9673-9681.
IEEE DOI 2111
Cameras, Global navigation satellite system, Strips, Unmanned aerial vehicles, Calibration, Earth, Distortion, without ground control points (GCPs) BibRef

Lamping, J.E.[James E.], Zald, H.S.J.[Harold S. J.], Madurapperuma, B.D.[Buddhika D.], Graham, J.[Jim],
Comparison of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry to Airborne Laser Scanning across Multiple Forest Types in California, USA,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Sandino, J.[Juan], Maire, F.[Frederic], Caccetta, P.[Peter], Sanderson, C.[Conrad], Gonzalez, F.[Felipe],
Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Wang, D.W.[Da-Wei], Zhao, Y.[Yang], He, Y.X.[Yi-Xin], Tang, X.[Xiao], Li, L.X.[Li-Xin], Zhang, R.N.[Ruo-Nan], Zhai, D.[Daosen],
Passive Beamforming and Trajectory Optimization for Reconfigurable Intelligent Surface-Assisted UAV Secure Communication,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Wei, D.W.[Da-Wei], Xi, N.[Ning], Ma, J.F.[Jian-Feng], He, L.[Lei],
UAV-Assisted Privacy-Preserving Online Computation Offloading for Internet of Things,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Hu, X.[Xin], Zhong, Y.F.[Yan-Fei], Wang, X.Y.[Xin-Yu], Luo, C.[Chang], Zhao, J.[Ji], Lei, L.[Lei], Zhang, L.P.[Liang-Pei],
SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyperspectral Imagery With High Spatial and Spectral Resolutions,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI 2112
Hyperspectral imaging, Feature extraction, Spatial resolution, Data mining, Semantics, Unmanned aerial vehicles, Solid modeling, Wuhan UAV-borne H² imagery (WHU-Hi) data set BibRef

Nex, F., Armenakis, C., Cramer, M., Cucci, D.A., Gerke, M., Honkavaara, E., Kukko, A., Persello, C., Skaloud, J.,
UAV in the advent of the twenties: Where we stand and what is next,
PandRS(184), 2022, pp. 215-242.
Elsevier DOI 2202
UAV, Photogrammetry, LiDAR, Deep learning, Hyperspectral, Remote sensing, Sensors, Data processing, Navigation BibRef

Ho, F.[Florence], Geraldes, R.[Rúben], Gonçalves, A.[Artur], Rigault, B.[Bastien], Sportich, B.[Benjamin], Kubo, D.[Daisuke], Cavazza, M.[Marc], Prendinger, H.[Helmut],
Decentralized Multi-Agent Path Finding for UAV Traffic Management,
ITS(23), No. 2, February 2022, pp. 997-1008.
IEEE DOI 2202
Unmanned aerial vehicles, Delays, Aircraft, Standards, Trajectory, cost function, multi-agent path finding (MAPF) BibRef

Mugnai, F.[Francesco], Tucci, G.[Grazia],
A Comparative Analysis of Unmanned Aircraft Systems in Low Altitude Photogrammetric Surveys,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Lim, J.S.[Jonathan S.], Gleason, S.[Sean], Williams, M.[Meta], Matás, G.J.L.[Gonzalo J. Linares], Marsden, D.[Daniel], Jones, W.[Warren],
UAV-Based Remote Sensing for Managing Alaskan Native Heritage Landscapes in the Yukon-Kuskokwim Delta,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Malachy, N.[Nitzan], Zadak, I.[Imri], Rozenstein, O.[Offer],
Comparing Methods to Extract Crop Height and Estimate Crop Coefficient from UAV Imagery Using Structure from Motion,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
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Li, X.J.[Xian-Jiang], He, B.Y.[Bo-Yong], Ding, K.W.[Kai-Wen], Guo, W.J.[Wei-Jie], Huang, B.[Bo], Wu, L.[Liaoni],
Wide-Area and Real-Time Object Search System of UAV,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Wood, D.J.A.[David J. A.], Preston, T.M.[Todd M.], Powell, S.[Scott], Stoy, P.C.[Paul C.],
Multiple UAV Flights across the Growing Season Can Characterize Fine Scale Phenological Heterogeneity within and among Vegetation Functional Groups,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Han, R.[Rui], Wen, Y.Q.[Yong-Qing], Bai, L.[Lin], Liu, J.W.[Jian-Wei], Choi, J.H.[Jin-Ho],
Age of Information Aware UAV Deployment for Intelligent Transportation Systems,
ITS(23), No. 3, March 2022, pp. 2705-2715.
IEEE DOI 2203
Transportation, TV, Quality of service, Wireless communication, Task analysis, Roads, Data collection, Intelligent transportation, deployment optimization BibRef

Wang, J.[Jian], Liu, Y.X.[Yong-Xin], Niu, S.T.[Shu-Teng], Jing, W.P.[Wei-Peng], Song, H.B.[Hou-Bing],
Throughput Optimization in Heterogeneous Swarms of Unmanned Aircraft Systems for Advanced Aerial Mobility,
ITS(23), No. 3, March 2022, pp. 2752-2761.
IEEE DOI 2203
Throughput, Optimization, Resource management, Microprocessors, Collaboration, advanced aerial mobility BibRef

Zuo, L.[Lei], Gao, S.[Shan], Li, Y.C.[Ya-Chao], Li, L.H.[Liang-Hai], Li, M.[Ming], Lu, X.F.[Xiao-Fei],
A Fast and Robust Algorithm with Reinforcement Learning for Large UAV Cluster Mission Planning,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Tang, G.[Gang], Gu, J.[Jiaxu], Zhu, W.D.[Wei-Dong], Claramunt, C.[Christophe], Zhou, P.P.[Pei-Pei],
HD Camera-Equipped UAV Trajectory Planning for Gantry Crane Inspection,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Hoshu, A.A.[Ayaz Ahmed], Wang, L.[Liuping], Sattar, A.[Abdul], Fisher, A.[Alex],
Auto-Tuning of Attitude Control System for Heterogeneous Multirotor UAS,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Pina, P.[Pedro], Vieira, G.[Gonçalo],
UAVs for Science in Antarctica,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Trinh, H.L.[Ha Linh], Kieu, H.T.[Hieu Trung], Pak, H.Y.[Hui Ying], Pang, D.S.C.[Dawn Sok Cheng], Cokro, A.A.[Angel Anisa], Law, A.W.K.[Adrian Wing-Keung],
A Framework for Survey Planning Using Portable Unmanned Aerial Vehicles (pUAVs) in Coastal Hydro-Environment,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Mager, A.[Adi], Blass, V.[Vered],
From Illegal Waste Dumps to Beneficial Resources Using Drone Technology and Advanced Data Analysis Tools: A Feasibility Study,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Sedrati, M.[Mouncef], Morales, J.A.[Juan A.], El M'rini, A.[Abdelmounim], Anthony, E.J.[Edward J.], Bulot, G.[Glen], Le Gall, R.[Romain], Tadibaght, A.[Abdelkarim],
Using UAV and Structure-From-Motion Photogrammetry for the Detection of Boulder Movement by Storms on a Rocky Shore Platform in Laghdira, Northwest Morocco,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, Y.L.[Yi-Lin], Yin, D.X.[Dong-Xu], Lou, L.M.[Li-Ming], Li, X.Y.[Xin-Ying], Cheng, P.L.[Peng-Le], Huang, Y.[Ying],
Luotuo Mountain Waste Dump Cover Interpretation Combining Deep Learning and VDVI Based on Data from an Unmanned Aerial Vehicle (UAV),
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Mao, P.[Peng], Ding, J.J.[Jun-Jie], Jiang, B.Q.[Bi-Qian], Qin, L.J.[Long-Jun], Qiu, G.Y.[Guo Yu],
How can UAV bridge the gap between ground and satellite observations for quantifying the biomass of desert shrub community?,
PandRS(192), 2022, pp. 361-376.
Elsevier DOI 2209
Above-ground biomass (AGB), Desert shrub, Optical Satellite, Unmanned aerial vehicle (UAV) BibRef

Liu, C.[Chang], Szirányi, T.[Tamás],
Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Shui, W.[Wei], Li, H.[Hui], Zhang, Y.Y.[Yong-Yong], Jiang, C.[Cong], Zhu, S.[Sufeng], Wang, Q.F.[Qian-Feng], Liu, Y.M.[Yuan-Meng], Zong, S.[Sili], Huang, Y.H.[Yun-Hui], Ma, M.Q.[Mei-Qi],
Is an Unmanned Aerial Vehicle (UAV) Suitable for Extracting the Stand Parameters of Inaccessible Underground Forests of Karst Tiankeng?,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Han, S.F.[Shou-Fei], Zhu, K.[Kun], Zhou, M.C.[Meng-Chu], Liu, X.J.[Xiao-Jing],
Joint Deployment Optimization and Flight Trajectory Planning for UAV Assisted IoT Data Collection: A Bilevel Optimization Approach,
ITS(23), No. 11, November 2022, pp. 21492-21504.
IEEE DOI 2212
Internet of Things, Energy consumption, Data collection, Trajectory, Optimization, Autonomous aerial vehicles, UAV BibRef

Piao, H.Y.[Hai-Yin], Yu, J.[Jin], Mo, L.[Li], Yang, X.[Xin], Liu, Z.M.[Zhi-Min], Sun, Z.X.[Zhi-Xiao], Lu, M.[Ming], Yang, Z.[Zhen], Zhou, D.[Deyun],
Learning Smooth Motion Planning for Intelligent Aerial Transportation Vehicles by Stable Auxiliary Gradient,
ITS(23), No. 12, December 2022, pp. 24464-24473.
IEEE DOI 2212
Planning, Drones, Aircraft, Aerodynamics, Oscillators, Transportation, Mathematical models, Motion planning, intelligent, aerial, vehicle, smooth BibRef

Prey, L.[Lukas], Hanemann, A.[Anja], Ramgraber, L.[Ludwig], Seidl-Schulz, J.[Johannes], Noack, P.O.[Patrick Ole],
UAV-Based Estimation of Grain Yield for Plant Breeding: Applied Strategies for Optimizing the Use of Sensors, Vegetation Indices, Growth Stages, and Machine Learning Algorithms,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Rzonca, A.[Antoni], Twardowski, M.[Mariusz],
The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Alphonse, A.B.[Abhishek Bamby], Wawrzyniak, T.[Tomasz], Osuch, M.[Marzena], Hanselmann, N.[Nicole],
Applying UAV-Based Remote Sensing Observation Products in High Arctic Catchments in SW Spitsbergen,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Vlaminck, M.[Michiel], Diels, L.[Laurens], Philips, W.[Wilfried], Maes, W.[Wouter], Heim, R.[René], de Wit, B.[Bart], Luong, H.[Hiep],
A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds,
RS(15), No. 6, 2023, pp. 1524.
DOI Link 2304
BibRef

Kamarulzaman, A.M.M.[Aisyah Marliza Muhmad], Jaafar, W.S.W.M.[Wan Shafrina Wan Mohd], Said, M.N.M.[Mohd Nizam Mohd], Saad, S.N.M.[Siti Nor Maizah], Mohan, M.[Midhun],
UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia,
RS(15), No. 11, 2023, pp. 2845.
DOI Link 2306
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Pitombeira, K.[Kalima], Mitishita, E.[Edson],
Influence of On-Site Camera Calibration with Sub-Block of Images on the Accuracy of Spatial Data Obtained by PPK-Based UAS Photogrammetry,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Lu, Z.H.[Zi-Hao], Sun, H.[Hao], Xu, Y.J.[Yan-Jie],
Adversarial Robustness Enhancement of UAV-Oriented Automatic Image Recognition Based on Deep Ensemble Models,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Lyu, M.Y.[Ming-Yang], Zhao, Y.[Yibo], Huang, C.[Chao], Huang, H.L.[Hai-Long],
Unmanned Aerial Vehicles for Search and Rescue: A Survey,
RS(15), No. 13, 2023, pp. 3266.
DOI Link 2307
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Sarkar, D.[Dipro], Sinha, R.[Rajiv], Bookhagen, B.[Bodo],
Towards a Guideline for UAV-Based Data Acquisition for Geomorphic Applications,
RS(15), No. 14, 2023, pp. 3692.
DOI Link 2307
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Kim, I.H.[In-Ho], Jung, H.J.[Hyung-Jo], Yoon, S.[Sungsik], Park, J.W.[Jong Woong],
Dynamic Response Measurement and Cable Tension Estimation Using an Unmanned Aerial Vehicle,
RS(15), No. 16, 2023, pp. 4000.
DOI Link 2309
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Goldberger, L.[Lexie], Gonzalez-Hirshfeld, I.[Ilan], Nelson, K.[Kristian], Mehta, H.[Hardeep], Mei, F.[Fan], Tomlinson, J.[Jason], Schmid, B.[Beat], Tagestad, J.[Jerry],
High-Resolution Image Products Acquired from Mid-Sized Uncrewed Aerial Systems for Land-Atmosphere Studies,
RS(15), No. 16, 2023, pp. 3940.
DOI Link 2309
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Cao, H.T.[Hong-Tao], You, D.Q.[Dong-Qin], Ji, D.[Dabin], Gu, X.F.[Xing-Fa], Wen, J.G.[Jian-Guang], Wu, J.J.[Jian-Jun], Li, Y.[Yong], Cao, Y.Q.[Yong-Qiang], Cui, T.J.[Tie-Jun], Zhang, H.[Hu],
The Method of Multi-Angle Remote Sensing Observation Based on Unmanned Aerial Vehicles and the Validation of BRDF,
RS(15), No. 20, 2023, pp. 5000.
DOI Link 2310
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McCoy, J.[James], Rawal, A.[Atul], Rawat, D.B.[Danda B.], Sadler, B.M.[Brian M.],
Ensemble Deep Learning for Sustainable Multimodal UAV Classification,
ITS(24), No. 12, December 2023, pp. 15425-15434.
IEEE DOI 2312
BibRef

Zhang, J.[Jingcheng], Hu, Y.C.[Yun-Cai], Li, F.[Fei], Fue, K.G.[Kadeghe G.], Yu, K.[Kang],
Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency,
RS(16), No. 5, 2024, pp. 838.
DOI Link 2403
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Wandelt, S.[Sebastian], Wang, S.[Shuang], Zheng, C.H.[Chang-Hong], Sun, X.Q.[Xiao-Qian],
AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring,
ITS(25), No. 7, July 2024, pp. 6276-6289.
IEEE DOI 2407
Surveys, Autonomous aerial vehicles, Logistics, Monitoring, Public transportation, Drones, Routing, Unmanned air mobility, UAV, meta review BibRef

Dong, Y.X.[Ya-Xin], Li, F.[Fei], Yan, K.[Kai], Deng, S.[Shen], Wen, T.[Tao], Yang, Y.[Yang],
OFACD: An end-to-end change detection network for small UAVs remote sensing with viewpoint differences,
IVC(148), 2024, pp. 105150.
Elsevier DOI 2407
Change detection, Image alignment, Viewpoint differences, Remote sensing, Small unmanned aerial vehicles (UAVs) BibRef

Sun, G.[Gang], Zhang, X.T.[Xue-Tao], Liu, Y.[Yisha], Zhang, X.[Xuebo], Zhuang, Y.[Yan],
Safety-Driven and Localization Uncertainty-Driven Perception-Aware Trajectory Planning for Quadrotor Unmanned Aerial Vehicles,
ITS(25), No. 8, August 2024, pp. 8837-8848.
IEEE DOI 2408
Trajectory, Safety, Location awareness, Planning, Uncertainty, Splines (mathematics), Visualization, Perception awareness, YSC, coarse-to-fine search BibRef

Zhang, J.F.[Jiang-Fan], Zhang, Y.[Yan], Shi, Z.G.[Zhi-Guang], Zhang, Y.[Yu], Gao, R.[Ruobin],
Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation,
RS(16), No. 14, 2024, pp. 2590.
DOI Link 2408
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Lai, M.Z.[Ming-Zheng], Wang, P.J.[Peng-Jie], Zeng, Y.[YiFan], Lv, W.[Wei],
Transformer-based computer vision technology empowers drones,
CVIDL23(195-198)
IEEE DOI 2403
Photography, Head, Object detection, Manuals, Transformers, Autonomous aerial vehicles, Transformer, drone, YOLOv5 BibRef

Sakaino, H.[Hidetomo],
Dynamic Texts From UAV Perspective Natural Images,
OpenSUN3D(2062-2073)
IEEE DOI 2401
BibRef

Rizzoli, G.[Giulia], Barbato, F.[Francesco], Caligiuri, M.[Matteo], Zanuttigh, P.[Pietro],
SynDrone: Multi-modal UAV Dataset for Urban Scenarios,
WiCV-ICCV23(2202-2212)
IEEE DOI 2401
BibRef