23.4.4 DEM, DSM, DTM, Generation Using LiDAR, LIDAR, Laser Data

Chapter Contents (Back)
DEM. DSM. Lidar. Digital Elevation Map.

Cowen, D.J.[David J.], Jensen, J.R.[John R.], Hendrix, C.[Chad], Hodgson, M.E.[Mike E.], Schill, S.R.[Steven R.], Macchiaverna, F.[Frank],
A GIS-Assisted Rail Construction Econometric Model that Incorporates LIDAR Data,
PhEngRS(66), No. 11, November 2000, pp. 1323-1328. Remote sensing and GIS-assisted railroad route selection using LIDAR data. 0011

Lloyd, C.D., Atkinson, P.M.,
Deriving DSMs from LiDAR data with kriging,
JRS(23), No. 12, June 2002, pp. 2519-2524. 0208

Zhang, K.Q.[Ke-Qi], Chen, S.C.[Shu-Ching], Whitman, D., Shyu, M.L.[Mei-Ling], Yan, J.H.[Jian-Hua], Zhang, C.C.[Cheng-Cui],
A progressive morphological filter for removing nonground measurements from airborne LIDAR data,
GeoRS(41), No. 4, April 2003, pp. 872-882.
IEEE Abstract. 0307

Lee, H.S., Younan, N.H.,
DTM extraction of Lidar returns via adaptive processing,
GeoRS(41), No. 9, September 2003, pp. 2063-2069.
IEEE Abstract. 0310

Hu, Y.[Yong], Tao, C.V.[C. Vincent],
Hierarchical Recovery of Digital Terrain Models from Single and Multiple Return Lidar Data,
PhEngRS(71), No. 4, April 2005, pp. 425.
WWW Link. DTM from lidar data with varying point densities and scene complexity by processing the image pyramid and adaptive filtering. 0509

Atwood, D.K., Guritz, R.M., Muskett, R.R., Lingle, C.S., Sauber, J.M., Freymueller, J.T.,
DEM Control in Arctic Alaska With ICESat Laser Altimetry,
GeoRS(45), No. 11, November 2007, pp. 3710-3720.

Brzank, A.[Alexander], Heipke, C.[Christian], Goepfert, J.[Jens], Soergel, U.[Uwe],
Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction,
PandRS(63), No. 5, September 2008, pp. 510-528.
Elsevier DOI 0804
Lidar; Laser scanning; DTM; Classification; Structure lines BibRef

Brzank, A.[Alexander], Heipke, C.[Christian],
Classification of Lidar Data into Water and Land Points in Coastal Areas,
PDF File. 0609

Meng, X.L.[Xue-Lian], Wang, L.[Le], Silvan-Cardenas, J.L.[Jose Luis], Currit, N.[Nate],
A multi-directional ground filtering algorithm for airborne LIDAR,
PandRS(64), No. 1, January 2009, pp. 117-124.
Elsevier DOI 0804
LIDAR; Ground filtering; Multi-directional
See also Morphology-Based Building Detection from Airborne Lidar Data. BibRef

Meng, X.L.[Xue-Lian], Currit, N.[Nate], Zhao, K.,
Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues,
RS(2), No. 3, March 2010, pp. 833-860.
DOI Link 1203

Bretar, F.[Frédéric], Chehata, N.[Nesrine],
Terrain Modeling From Lidar Range Data in Natural Landscapes: A Predictive and Bayesian Framework,
GeoRS(48), No. 3, March 2010, pp. 1568-1578.
Earlier: A2, A1:
Terrain modeling from Lidar data: Hierarchical K-means filtering and Markovian regularization,
Earlier: A1, A2:
Digital Terrain Model on Vegetated Areas: Joint Use of Airborne LIDAR Data and Optical Images,
PDF File. 0711

See also Recognition of Building Roof Facets by Merging Aerial Images and 3D Lidar Data in a Hierarchical Segmentation Framework. BibRef

Demantke, J.[Jerome], Mallet, C.[Clement], David, N.[Nicolas], Vallet, B.[Bruno],
Dimensionality Based Scale Selection in 3D LIDAR Point Clouds,
DOI Link 1109

Chehata, N.[Nesrine], David, N.[Nicolas], Bretar, F.[Frédéric],
LIDAR Data Classification Using Hierarchical K-Means Clustering,
ISPRS08(B3b: 325 ff).
PDF File. 0807

Bretar, F.[Frederic],
Processing Fine Digital Terrain Models by Markovian Regularization from 3D Airborne Lidar Data,
ICIP07(IV: 125-128).

Mongus, D.[Domen], Žalik, B.[Borut],
Parameter-free ground filtering of LiDAR data for automatic DTM generation,
PandRS(67), No. 1, January 2012, pp. 1-12.
Elsevier DOI 1202
LiDAR; Digital terrain model; Classification BibRef

Mongus, D.[Domen], Lukac, N.[Niko], Žalik, B.[Borut],
Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces,
PandRS(93), No. 1, 2014, pp. 145-156.
Elsevier DOI 1407
LiDAR BibRef

Sharma, M., Paige, G., Miller, S.,
DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects,
RS(2), No. 11, November 2010, pp. 2629-2642.
DOI Link 1203

Toutin, T., Wang, H.[Huili], Chomaz, P., Pottier, E.,
Orthorectification of Full-Polarimetric Radarsat-2 Data Using Accurate LIDAR DSM,
GeoRS(51), No. 12, 2013, pp. 5252-5258.
digital elevation models BibRef

Doneus, M.[Michael],
Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models,
RS(5), No. 12, 2013, pp. 6427-6442.
DOI Link 1412

Herzfeld, U.C., McDonald, B.W., Wallin, B.F., Neumann, T.A., Markus, T., Brenner, A., Field, C.,
Algorithm for Detection of Ground and Canopy Cover in Micropulse Photon-Counting Lidar Altimeter Data in Preparation for the ICESat-2 Mission,
GeoRS(52), No. 4, April 2014, pp. 2109-2125.
eigenvalues and eigenfunctions BibRef

Hu, H.[Han], Ding, Y.L.[Yu-Lin], Zhu, Q.[Qing], Wu, B.[Bo], Lin, H.[Hui], Du, Z.Q.[Zhi-Qiang], Zhang, Y.T.[Ye-Ting], Zhang, Y.S.[Yun-Sheng],
An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy,
PandRS(92), No. 1, 2014, pp. 98-111.
Elsevier DOI 1407
Airborne laser scanning BibRef

Maguya, A.S.[Almasi S.], Junttila, V.[Virpi], Kauranne, T.[Tuomo],
Algorithm for Extracting Digital Terrain Models under Forest Canopy from Airborne LiDAR Data,
RS(6), No. 7, 2014, pp. 6524-6548.
DOI Link 1408

Li, Y.[Yong], Yong, B.[Bin], Wu, H.Y.[Hua-Yi], An, R.[Ru], Xu, H.W.[Han-Wei],
An Improved Top-Hat Filter with Sloped Brim for Extracting Ground Points from Airborne Lidar Point Clouds,
RS(6), No. 12, 2014, pp. 12885-12908.
DOI Link 1412

Leigh, H.W., Magruder, L.A., Carabajal, C.C., Saba, J.L., McGarry, J.F.,
Development of Onboard Digital Elevation and Relief Databases for ICESat-2,
GeoRS(53), No. 4, April 2015, pp. 2011-2020.
digital elevation models BibRef

Chen, C.F.[Chuan-Fa], Yan, C.Q.[Chang-Qing], Cao, X.W.[Xue-Wei], Guo, J.Y.[Jin-Yun], Dai, H.L.[Hong-Lei],
A greedy-based multiquadric method for LiDAR-derived ground data reduction,
PandRS(102), No. 1, 2015, pp. 110-121.
Elsevier DOI 1503
LiDAR BibRef

Næsset, E.[Erik],
Vertical Height Errors in Digital Terrain Models Derived from Airborne Laser Scanner Data in a Boreal-Alpine Ecotone in Norway,
RS(7), No. 4, 2015, pp. 4702-4725.
DOI Link 1505

Hu, X.Y.[Xiang-Yun], Ye, L.Z.[Li-Zhi], Pang, S.Y.[Shi-Yan], Shan, J.[Jie],
Semi-Global Filtering of Airborne LiDAR Data for Fast Extraction of Digital Terrain Models,
RS(7), No. 8, 2015, pp. 10996.
DOI Link 1509

Su, Y.J.[Yan-Jun], Guo, Q.H.[Qing-Hua], Ma, Q.[Qin], Li, W.K.[Wen-Kai],
SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery,
RS(7), No. 9, 2015, pp. 11202.
DOI Link 1511

Rodríguez-Caballero, E.[Emilio], Afana, A., Chamizo, S., Solé-Benet, A., Cantón, Y.[Yolanda],
A new adaptive method to filter terrestrial laser scanner point clouds using morphological filters and spectral information to conserve surface micro-topography,
PandRS(117), No. 1, 2016, pp. 141-148.
Elsevier DOI 1605
Terrestrial laser scanning (TLS). Terrestrial laser data is different from areial so it needs different filtering. BibRef

Kolzenburg, S., Favalli, M., Fornaciai, A., Isola, I., Harris, A.J.L., Nannipieri, L., Giordano, D.,
Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features,
GeoRS(54), No. 11, November 2016, pp. 6687-6699.
Atmospheric modeling BibRef

Hu, X.Y.[Xiang-Yun], Yuan, Y.[Yi],
Deep-Learning-Based Classification for DTM Extraction from ALS Point Cloud,
RS(8), No. 9, 2016, pp. 730.
DOI Link 1610

Stoker, J.M.[Jason M.], Abdullah, Q.A.[Qassim A.], Nayegandhi, A.[Amar], Winehouse, J.[Jayna],
Evaluation of Single Photon and Geiger Mode Lidar for the 3D Elevation Program,
RS(8), No. 9, 2016, pp. 767.
DOI Link 1610

Hu, B.X.[Bao-Xin], Gumerov, D.[Damir], Wang, J.G.[Jian-Guo], Zhang, W.[Wen],
An Integrated Approach to Generating Accurate DTM from Airborne Full-Waveform LiDAR Data,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
Earlier: A1, A2, A3, Only:
An Integrated Approach To Accurate DEM Generartion Using Airborne Full Waveform Lidar Data,
DOI Link 1109

Muir, J.[Jasmine], Goodwin, N.[Nicholas], Armston, J.[John], Phinn, S.[Stuart], Scarth, P.[Peter],
An Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Yue, L.W.[Lin-Wei], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], Zheng, X.W.[Xian-Wei], Zhang, F.[Fan], Yuan, Q.Q.[Qiang-Qiang],
High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations,
PandRS(123), No. 1, 2017, pp. 20-34.
Elsevier DOI 1612
Digital elevation model (DEM) BibRef

Didier, D.[David], Bernatchez, P.[Pascal], Augereau, E.[Emmanuel], Caulet, C.[Charles], Dumont, D.[Dany], Bismuth, E.[Eliott], Cormier, L.[Louis], Floch, F.[France], Delacourt, C.[Christophe],
LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Kukko, A.[Antero], Kaijaluoto, R.[Risto], Kaartinen, H.[Harri], Lehtola, V.V.[Ville V.], Jaakkola, A.[Anttoni], Hyyppä, J.[Juha],
Graph SLAM correction for single scanner MLS forest data under boreal forest canopy,
PandRS(132), No. 1, 2017, pp. 199-209.
Elsevier DOI 1710
Mobile laser scanning BibRef

Vázquez-Jiménez, R.[René], Romero-Calcerrada, R.[Raúl], Ramos-Bernal, R.N.[Rocío N.], Arrogante-Funes, P.[Patricia], Novillo, C.J.[Carlos J.],
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710

Ren, Y.B.[Yi-Bin], Chen, Z.J.[Zhen-Jie], Chen, G.[Ge], Han, Y.[Yong], Wang, Y.J.[Yan-Jie],
A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710

Yan, L.[Li], Liu, H.[Hua], Tan, J.X.[Jun-Xiang], Li, Z.[Zan], Chen, C.J.[Chang-Jun],
A Multi-Constraint Combined Method for Ground Surface Point Filtering from Mobile LiDAR Point Clouds,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711

Simpson, J.E.[Jake E.], Smith, T.E.L.[Thomas E. L.], Wooster, M.J.[Martin J.],
Assessment of Errors Caused by Forest Vegetation Structure in Airborne LiDAR-Derived DTMs,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Kim, M.K.[Mi-Kyeong], Kim, S.P.[Sang-Pil], Sohn, H.G.[Hong-Gyoo], Kim, N.[Namhoon], Park, J.S.[Je-Sung],
A New Recursive Filtering Method of Terrestrial Laser Scanning Data to Preserve Ground Surface Information in Steep-Slope Areas,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Li, Y.[Yong], Yong, B.[Bin], van Oosterom, P.[Peter], Lemmens, M.[Mathias], Wu, H.Y.[Hua-Yi], Ren, L.L.[Li-Liang], Zheng, M.X.[Ming-Xue], Zhou, J.J.[Jia-Jun],
Airborne LiDAR Data Filtering Based on Geodesic Transformations of Mathematical Morphology,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
Filter to get true DEM, etc. BibRef

Chen, C.F.[Chuan-Fa], Li, Y.Y.[Yan-Yan], Zhao, N.[Na], Guo, B.[Bin], Mou, N.[Naixia],
Least Squares Compactly Supported Radial Basis Function for Digital Terrain Model Interpolation from Airborne Lidar Point Clouds,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Salach, A.[Adam], Bakula, K.[Krzysztof], Pilarska, M.[Magdalena], Ostrowski, W.[Wojciech], Górski, K.[Konrad], Kurczynski, Z.[Zdzislaw],
Accuracy Assessment of Point Clouds from LiDAR and Dense Image Matching Acquired Using the UAV Platform for DTM Creation,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Ma, H.C.[Hong-Chao], Zhou, W.W.[Wei-Wei], Zhang, L.[Liang],
DEM refinement by low vegetation removal based on the combination of full waveform data and progressive TIN densification,
PandRS(146), 2018, pp. 260-271.
Elsevier DOI 1812
Full waveform data, test, Gaussian decomposition, Point cloud, Low vegetation, DEM BibRef

Zhu, X.X.[Xiao-Xiao], Nie, S.[Sheng], Wang, C.[Cheng], Xi, X.H.[Xiao-Huan], Hu, Z.Y.[Zhen-Yue],
A Ground Elevation and Vegetation Height Retrieval Algorithm Using Micro-Pulse Photon-Counting Lidar Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Vernimmen, R.[Ronald], Hooijer, A.[Aljosja], Yuherdha, A.T.[Angga T.], Visser, M.[Martijn], Pronk, M.[Maarten], Eilander, D.[Dirk], Akmalia, R.[Rizka], Fitranatanegara, N.[Natan], Mulyadi, D.[Dedi], Andreas, H.[Heri], Ouellette, J.[James], Hadley, W.[Warwick],
Creating a Lowland and Peatland Landscape Digital Terrain Model (DTM) from Interpolated Partial Coverage LiDAR Data for Central Kalimantan and East Sumatra, Indonesia,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906

Moreno-Gómez, M.[Miguel], Liedl, R.[Rudolf], Stefan, C.[Catalin],
A New GIS-Based Model for Karst Dolines Mapping Using LiDAR; Application of a Multidepth Threshold Approach in the Yucatan Karst, Mexico,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906

Ma, W.[Wei], Li, Q.Q.[Qing-Quan],
An Improved Ball Pivot Algorithm-Based Ground Filtering Mechanism for LiDAR Data,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906

Zhao, J.H.[Jian-Hu], Chen, M.Y.[Ming-Yi], Zhang, H.M.[Hong-Mei], Zheng, G.[Gen],
A Hovercraft-Borne LiDAR and a Comprehensive Filtering Method for the Topographic Survey of Mudflats,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Šašak, J.[Ján], Gallay, M.[Michal], Kanuk, J.[Ján], Hofierka, J.[Jaroslav], Minár, J.[Jozef],
Combined Use of Terrestrial Laser Scanning and UAV Photogrammetry in Mapping Alpine Terrain,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909

Sánchez, J.M.[Jorge Martínez], Álvarez, Á.V.[Álvaro Váquez], Vilariño, D.L.[David López], Rivera, F.F.[Francisco Fernández], Domínguez, J.C.C.[José Carlos Cabaleiro], Pena, T.F.[Tomás Fernández],
Fast Ground Filtering of Airborne LiDAR Data Based on Iterative Scan-Line Spline Interpolation,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910

Dyer, J.M.[James M.],
A GIS-Based Water Balance Approach Using a LiDAR-Derived DEM Captures Fine-Scale Vegetation Patterns,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910

Zhang, J.M.[Jin-Ming], Hu, X.Y.[Xiang-Yun], Dai, H.M.[Heng-Ming], Qu, S.R.[Shen-Run],
DEM Extraction from ALS Point Clouds in Forest Areas via Graph Convolution Network,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001

Cateanu, M.[Mihnea], Ciubotaru, A.[Arcadie],
Accuracy of Ground Surface Interpolation from Airborne Laser Scanning (ALS) Data in Dense Forest Cover,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005

Štular, B.[Benjamin], Lozic, E.[Edisa],
Comparison of Filters for Archaeology-Specific Ground Extraction from Airborne LiDAR Point Clouds,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

O'Banion, M.S.[Matthew S.], Olsen, M.J.[Michael J.], Hollenbeck, J.P.[Jeff P.], Wright, W.C.[William C.],
Data Gap Classification for Terrestrial Laser Scanning-Derived Digital Elevation Models,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012

Xing, Y.Q.[Yan-Qiu], Huang, J.P.[Jia-Peng], Gruen, A.[Armin], Qin, L.[Lei],
Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Marotta, F.[Federica], Teruggi, S.[Simone], Achille, C.[Cristiana], Vassena, G.P.M.[Giorgio Paolo Maria], Fassi, F.[Francesco],
Integrated Laser Scanner Techniques to Produce High-Resolution DTM of Vegetated Territory,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Zhang, Z.H.[Zheng-Hua], Chen, G.L.[Guo-Liang], Wang, X.[Xuan], Shu, M.C.[Ming-Cong],
DDRNet: Fast point cloud registration network for large-scale scenes,
PandRS(175), 2021, pp. 184-198.
Elsevier DOI 2105
Fast 3D registration, Large-scale scene, Global registration, Lidar odometry BibRef

Shen, Z.H.[Zhi-Hao], Liang, H.[Huawei], Lin, L.L.[Ling-Long], Wang, Z.L.[Zhi-Ling], Huang, W.X.[Wei-Xin], Yu, J.[Jie],
Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Li, H.X.[Hu-Xiong], Ye, W.[Weiya], Liu, J.[Jun], Tan, W.K.[Wei-Kai], Pirasteh, S.[Saied], Fatholahi, S.N.[Sarah Narges], Li, J.[Jonathan],
High-Resolution Terrain Modeling Using Airborne LiDAR Data with Transfer Learning,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Zhang, X.K.[Xu-Kai], Meng, X.L.[Xue-Lian], Li, C.Y.[Chun-Yan], Shang, N.[Nan], Wang, J.[Jiaze], Xu, Y.P.[Ya-Ping], Wu, T.[Tao], Mugnier, C.[Cliff],
Micro-Topography Mapping through Terrestrial LiDAR in Densely Vegetated Coastal Environments,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110

Ye, J.[Jiang], Qiang, Y.X.[Yu-Xuan], Zhang, R.[Rui], Liu, X.G.[Xin-Guo], Deng, Y.X.[Yi-Xin], Zhang, J.W.[Jia-Wei],
High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Li, B.[Bin], Fan, G.P.[Guang-Peng], Zhao, T.Z.[Tian-Zhong], Deng, Z.[Zhuo], Yu, Y.H.[Yong-Hui],
Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Yao, J.Q.[Jia-Qi], Tang, X.M.[Xin-Ming], Li, G.Y.[Guo-Yuan], Chen, J.Y.[Ji-Yi], Zuo, Z.Q.[Zhi-Qiang], Ai, B.[Bo], Zhang, S.[Shuaitai], Guo, J.Q.[Jin-Quan],
Influence of Atmospheric Scattering on the Accuracy of Laser Altimetry of the GF-7 Satellite and Corrections,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Scott, C.P.[Chelsea Phipps], Beckley, M.[Matthew], Phan, M.[Minh], Zawacki, E.[Emily], Crosby, C.[Christopher], Nandigam, V.[Viswanath], Arrowsmith, R.[Ramon],
Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

Barbarella, M.[Maurizio], di Benedetto, A.[Alessandro], Fiani, M.[Margherita],
A Method for Obtaining a DEM with Curved Abscissa from MLS Data for Linear Infrastructure Survey Design,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

Sliwinski, D.[Damian], Konieczna, A.[Anita], Roman, K.[Kamil],
Geostatistical Resampling of LiDAR-Derived DEM in Wide Resolution Range for Modelling in SWAT: A Case Study of Zglowiaczka River (Poland),
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Stevenson, M.[Matthew], Mues, C.[Christophe], Bravo, C.[Cristián],
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction,
PandRS(187), 2022, pp. 378-392.
Elsevier DOI 2205
LiDAR, Geo-demographics, Self-supervised learning, Deep learning BibRef

Li, Y.[Yi], Fu, H.Q.[Hai-Qiang], Zhu, J.J.[Jian-Jun], Wu, K.[Kefu], Yang, P.F.[Pan-Feng], Wang, L.[Li], Gao, S.J.[Shi-Juan],
A Method for SRTM DEM Elevation Error Correction in Forested Areas Using ICESat-2 Data and Vegetation Classification Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

Li, S.N.[Shao-Ning], Fan, X.F.[Xiu-Fang], Pan, H.B.[Hong-Bo], Yu, Q.F.[Qi-Fan],
A Compensation Method of Saturated Waveform for Space-Borne Laser Altimeter,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208

\ Bailey, G.[Gene], Li, Y.K.[Ying-Kui], McKinney, N.[Nathan], Yoder, D.[Daniel], Wright, W.[Wesley], Herrero, H.[Hannah],
Comparison of Ground Point Filtering Algorithms for High-Density Point Clouds Collected by Terrestrial LiDAR,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Nelson, K.[Kailyn], Chasmer, L.[Laura], Hopkinson, C.[Chris],
Quantifying Lidar Elevation Accuracy: Parameterization and Wavelength Selection for Optimal Ground Classifications Based on Time since Fire/Disturbance,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211

Aldibaja, M.[Mohammad], Suganuma, N.[Naoki], Yanase, R.[Ryo],
2.5D Layered Sub-Image LIDAR Maps for Autonomous Driving in Multilevel Environments,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212

Dai, H.M.[Heng-Ming], Hu, X.Y.[Xiang-Yun], Shu, Z.[Zhen], Qin, N.N.[Nan-Nan], Zhang, J.M.[Jin-Ming],
Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303

Zhu, X.X.[Xiao-Xiao], Ren, Z.[Zhikun], Nie, S.[Sheng], Bao, G.D.[Guo-Dong], Ha, G.[Guanghao], Bai, M.K.[Ming-Kun], Liang, P.[Peng],
DEM Generation from GF-7 Satellite Stereo Imagery Assisted by Space-Borne LiDAR and Its Application to Active Tectonics,
RS(15), No. 6, 2023, pp. 1480.
DOI Link 2304

Gawrysiak, L.[Leszek], Kociuba, W.[Waldemar],
LiDAR-Derived Relief Typology of Loess Patches (East Poland),
RS(15), No. 7, 2023, pp. 1875.
DOI Link 2304

Li, S.N.[Shao-Ning], Yu, Q.F.[Qi-Fan], Fu, A.[Anmin], Zhang, G.[Guo],
A Calibration Method for Large-Footprint Full-Waveform Airborne Laser Altimeter without a Calibration Field,
RS(15), No. 11, 2023, pp. 2789.
DOI Link 2306

Chen, C.F.[Chuan-Fa], Wu, H.M.[Hui-Ming], Yang, Z.M.[Zi-Ming], Li, Y.Y.[Yan-Yan],
Adaptive coarse-to-fine clustering and terrain feature-aware-based method for reducing LiDAR terrain point clouds,
PandRS(200), 2023, pp. 89-105.
Elsevier DOI 2306
Digital terrain model, Point cloud simplification, Terrain feature, Accuracy BibRef

Štroner, M.[Martin], Urban, R.[Rudolf], Suk, T.[Tomáš],
Filtering Green Vegetation Out from Colored Point Clouds of Rocky Terrains Based on Various Vegetation Indices: Comparison of Simple Statistical Methods, Support Vector Machine, and Neural Network,
RS(15), No. 13, 2023, pp. 3254.
DOI Link 2307

Sánchez-Aparicio, M.[María], Martín-Jiménez, J.A.[Jose Antonio], González-González, E.[Enrique], Lagüela, S.[Susana],
Laser Scanning for Terrain Analysis and Route Design for Electrified Public Transport in Urban Areas,
RS(15), No. 13, 2023, pp. 3325.
DOI Link 2307

Qin, N.N.[Nan-Nan], Tan, W.[Weikai], Ma, L.F.[Ling-Fei], Zhang, D.[Dedong], Guan, H.Y.[Hai-Yan], Li, J.[Jonathan],
Deep learning for filtering the ground from ALS point clouds: A dataset, evaluations and issues,
PandRS(202), 2023, pp. 246-261.
Elsevier DOI 2308
Ground filtering, Deep learning, Point cloud dataset, Comparative evaluation BibRef

Song, H.[Hunsoo], Jung, J.[Jinha],
An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation,
RS(15), No. 16, 2023, pp. 4105.
DOI Link 2309

Jung, M.Y.[Min-Young], Jung, J.[Jinha],
A Scalable Method to Improve Large-Scale Lidar Topographic Differencing Results,
RS(15), No. 17, 2023, pp. 4289.
DOI Link 2310

Cui, H., Li, R., Li, H., Hao, T., Qiao, G., He, Y., Hai, G., Xie, H., Cheng, Y., Li, B.,
Field Validation of Icesat-2 Data Along Chinare Route in East Antarctica,
ISPRS21(B3-2021: 443-448).
DOI Link 2201

Nurunnabi, A., Teferle, F.N., Li, J., Lindenbergh, R.C., Hunegnaw, A.,
An Efficient Deep Learning Approach for Ground Point Filtering In Aerial Laser Scanning Point Clouds,
ISPRS21(B1-2021: 31-38).
DOI Link 2201

Lee, H., Hahn, M.,
Point-to-surface Matching for DEM Correction Using Icesat Data,
DOI Link 2012

Crespo-Peremarch, P., Torralba, J., Carbonell-Rivera, J.P., Ruiz, L.A.,
Comparing the Generation of DTM in a Forest Ecosystem Using TLS, ALS And UAV-DAP, and Different Software Tools,
DOI Link 2012

Ivelja, T., Bechor, B., Hasan, O., Miko, S., Sivan, D., Brook, A.,
Improving Vertical Accuracy of UAV Digital Surface Models By Introducing Terrestrial Laser Scans on A Point-cloud Level,
DOI Link 2012

Németh, Z., Benedek, C.,
Automatic Tumuli Detection In LIDAR Based Digital Elevation Maps,
DOI Link 2012

Bakula, K., Pilarska, M., Ostrowski, W., Nowicki, A., Kurczynski, Z.,
UAV LIDAR Data Processing: Influence of Flight Height on Geometric Accuracy, Radiometric Information and Parameter Setting In DTM Production,
DOI Link 2012

Tosic, D., Tuttas, S., Hoegner, L., Stilla, U.,
Fusion of Feature Based and Deep Learning Methods for Classification Of MMS Point Clouds,
DOI Link 1912
Mobile Mapping System. BibRef

Janssens-Coron, E., Guilbert, E.,
Ground Point Filtering From Airborne Lidar Point Clouds Using Deep Learning: a Preliminary Study,
DOI Link 1912

Pirotti, F., Tonion, F.,
Classification of Aerial Laser Scanning Point Clouds Using Machine Learning: a Comparison Between Random Forest and Tensorflow,
DOI Link 1912

Politz, F., Sester, M.,
Joint Classification of ALS and DIM Point Clouds,
DOI Link 1912

Yokoyama, H., Chikatsu, H.,
Automatic Tree Data Removal Method for Topography Measurement Result Using Terrestrial Laser Scanner,
DOI Link 1805

Landry, D.[David], Giguère, P.[Philippe],
Automating Node Pruning for LiDAR-Based Topometric Maps in the Context of Teach-and-Repeat,

Tyagur, N., Hollaus, M.,
Digital Terrain Models From Mobile Laser Scanning Data In Moravian Karst,
ISPRS16(B3: 387-394).
DOI Link 1610

Feng, L., Muller, J.P.,
Icesat Validation Of Tandem-x I-dems Over The Uk,
ISPRS16(B4: 129-136).
DOI Link 1610

Tang, D.[Dejin], Zhou, X.M.[Xiao-Ming], Jiang, J.[Jie], Li, C.[Caiping],
A Segment-based Approach For Dtm Derivation Of Airborne Lidar Data,
ISPRS16(B1: 115-120).
DOI Link 1610

Lau, C.L., Halim, S., Zulkepli, M., Azwan, A.M., Tang, W.L., Chong, A.K.,
Terrain Extraction by Integrating Terrestrial Laser Scanner Data and Spectral Information,
DOI Link 1602

Deng, S.S., Shi, W.Z.,
Integration of Different Filter Algorithms for Improving the Ground Surface Extraction from Airborne LIDAR Data,
DOI Link 1311

Li, Y.,
Filtering Airborne LIDAR Data by an Improved Morphological Method Based on Multi-Gradient Analysis,
DOI Link 1308
Bare ground extraction. BibRef

Chen, H., Cheng, M., Li, J., Liu, Y.,
An Iterative Terrain Recovery Approach to Automated DTM Generation from Airborne Lidar Point Clouds,
DOI Link 1209

Gu, L.[Linyu], Li, Y.C.[Ying-Cheng], Liu, P.[Pei], Teng, C.S.[Chang-Sheng], Li, Y.[Ying],
A Shading Method for DSM Based on Classification Information of Airborne LiDAR Point Cloud,

Papasaika, H., Baltsavias, E.,
Fusion of lidar and photogrammetric generated Digital Elevation Models,
PDF File. 0906

Liu, X., Zhang, Z.,
LIDAR Data Reduction for Efficient and High Quality DEM Generation,
ISPRS08(B3b: 173 ff).
PDF File. 0807

Akel, N.A.[Nizar Abo], Kremeike, K., Filin, S., Sester, M., Doytsher, Y.,
Dense DTM generalization aided by roads extracted from LiDAR data,
PDF File. 0509

See also Reconstruction of Complex Shape Buildings from Lidar Data Using Free Form Surfaces. BibRef

Schenk, T.[Toni], Csathó, B.[Bea],
Fusion of LIDAR Data and Aerial Imagery for a More Complete Surface Description,
PCV02(A: 310). 0305

Crombaghs, M.[Marc], Oude Elberink, S.[Sander], Brügelmann, R.[Regine], de Min, E.[Erik],
Assessing Height Precision of Laser Altimetry DEMs,
PCV02(A: 85). 0305

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews .

Last update:Dec 8, 2023 at 20:54:15