24.1.8 Power Line Extraction, Powerline Extraction, Radar, SAR, Lidar, Laser, Depth

Nsutezo, S.F.[Simone Fobi], Gupta, A.[Amrita], Kebut, D.[Duncan], Iyer, S.[Seema], Marotti, L.[Luana], Dodhia, R.[Rahul], Ferres, J.M.L.[Juan M. Lavista], Ortiz, A.[Anthony],
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery,
WACV25(6311-6319)
IEEE DOI 2505
Image segmentation, Accuracy, Electricity, Source coding, Power grids, Planning, Resource management, Reliability, Open data, sustainable energy solutions BibRef

Lavado, D.[Diogo], Santos, R.[Ricardo], Coelho, A.[André], Santos, J.[João], Micheletti, A.[Alessandra], Soares, C.[Claudia],
Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems,
WACV25(7326-7336)
IEEE DOI Code:
WWW Link. 2505
Point cloud compression, Semantic segmentation, Noise, Poles and towers, Object detection, Inspection, Power grids, outdoor rural dataset BibRef

Pan, Z.C.[Zhi-Cheng], Wilson, D.[David], Stommel, M.[Martin], Castellanos, A.[Alex], van Vliet, B.[Ben],
A Frequency-Domain Approach for Detecting Overhead Conductors in Aerial Images,
IVCNZ24(1-6)
IEEE DOI 2503
Filtering, Image edge detection, Frequency-domain analysis, Windings, Pipelines, Companies, Conductors, UAV BibRef

Takezaki, D.[Daiki], Lee, C.[Chonho], Hoshina, Y.[Yutaka],
Towards the Detection of Various and Extremely Small Wires in Cables,
ICIVC24(313-317)
IEEE DOI 2503
Image segmentation, Adaptation models, Image resolution, Shape, Annotations, Computed tomography, Wires, Object detection, Rubber, Cable analysis BibRef

Wang, J.H.[Jia-Hao], Li, M.X.[Ming-Xuan], Luo, H.C.[Hai-Chen], Zhu, J.G.[Jin-Guo], Yang, A.[Aijun], Rong, M.Z.[Ming-Zhe], Wang, X.H.[Xiao-Hua],
Power-Llava: Large Language and Vision Assistant for Power Transmission Line Inspection,
ICIP24(963-969)
IEEE DOI 2411
Training, Electrical engineering, Deep learning, Power transmission lines, Large language models, Inspection, Two-stage training strategy BibRef

Chien, P.C.[Pei-Chun], Liao, P.[Powei], Fukuzawa, E.[Eiji], Ohya, J.[Jun],
Classifying Cable Tendency with Semantic Segmentation by Utilizing Real and Simulated RGB Data,
WACV24(8415-8423)
IEEE DOI 2404
Training, Shape, Semantic segmentation, Transfer learning, Data models, Communication cables, Applications, Robotics, Image recognition and understanding BibRef

Wei, M.[Min], Yang, Z.[Zhi], Meng, L.[Ling], Zhang, S.[Sihang], Zhu, L.H.[Li-Hong], Zhao, B.[Bin], Zhang, Z.W.[Zhe-Wei],
Identification and prediction of transmission line tree obstacles based on multispectral and LiDAR data,
CVIDL23(305-309)
IEEE DOI 2403
Point cloud compression, Power transmission lines, Vegetation, Predictive models, Inspection, Transmission line measurements, Tree barrier prediction BibRef

Cheng, Y.[Yang], Chen, Z.[Zhen], Liu, D.M.[Da-Ming],
PL-UNeXt: Per-Stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection,
ICIP23(261-265)
IEEE DOI 2312
BibRef

Kalitsios, G.[Georgios], Mygdalis, V.[Vasileios], Pitas, I.[Ioannis],
Domain Adaptation in Power Line Segmentation: A New Synthetic Dataset,
ICIP23(1820-1824)
IEEE DOI 2312
BibRef

Chiu, M.T.[Mang Tik], Zhang, X.[Xuaner], Wei, Z.J.[Zi-Jun], Zhou, Y.Q.[Yu-Qian], Shechtman, E.[Eli], Barnes, C.[Connelly], Lin, Z.[Zhe], Kainz, F.[Florian], Amirghodsi, S.[Sohrab], Shi, H.[Humphrey],
Automatic High Resolution Wire Segmentation and Removal,
CVPR23(2183-2192)
IEEE DOI 2309
BibRef

Patsiouras, E.[Emmanouil], Mygdalis, V.[Vasileios], Pitas, I.[Ioannis],
Whitening Transformation inspired Self-Attention for Powerline Element Detection,
ICPR22(4844-4849)
IEEE DOI 2212
Visualization, Helicopters, Object detection, Machine learning, Inspection, Transformers, powerline inspection BibRef

Jain, A.[Arpit], Shah, T.[Tapan], Yousefhussien, M.[Mohammed], Pandey, A.[Achalesh],
Combining Remotely Sensed Imagery with Survival Models for Outage Risk Estimation of the Power Grid,
EarthVision21(1202-1211)
IEEE DOI 2109
Schedules, Satellites, Vegetation mapping, Vegetation, Forestry, Predictive models, Power grids BibRef

Yu, W., Xi, J., Wu, Z., Lei, W., Zhu, C., Tang, T.,
A Method for Extracting Substation Equipment Based on UAV Laser Scanning Point Clouds,
SmartCityApp20(413-419).
DOI Link 2012
BibRef

Kähler, O., Hochstöger, S., Kemper, G., Birchbauer, J.,
Automating Powerline Inspection: A Novel Multisensor System for Data Analysis Using Deep Learning,
ISPRS20(B4:747-754).
DOI Link 2012
BibRef

Wu, Z., Lei, W., Sun, W., Chen, C., Wang, H., Yu, W., Zhong, H., Zhu, C., Xi, J., Yang, B.,
Power Transmission Line Reconstruction From Sequential Oblique UAV Images,
ISPRS20(B2:515-520).
DOI Link 2012
BibRef

Choi, H., Koo, G., Kim, B.J., Kim, S.W.[S. Woo],
Real-time Power Line Detection Network using Visible Light and Infrared Images,
IVCNZ19(1-6)
IEEE DOI 2004
convolutional neural nets, image fusion, image segmentation, infrared imaging, inspection, learning (artificial intelligence), Real-time BibRef

Jiang, S., Jiang, W.,
UAV-based Oblique Photogrammetry for 3d Reconstruction of Transmission Line: Practices and Applications,
UAV-g19(401-406).
DOI Link 1912
BibRef

Toschi, I., Morabito, D., Grilli, E., Remondino, F., Carlevaro, C., Cappellotto, A., Tamagni, G., Maffeis, M.,
Cloud-based Solution for Nationwide Power Line Mapping,
Semantics3D19(119-126).
DOI Link 1912
BibRef

Pu, S., Xie, L., Ji, M., Zhao, Y., Liu, W., Wang, L., Zhao, Y., Yang, F., Qiu, D.,
Real-time Powerline Corridor Inspection By Edge Computing of UAV Lidar Data,
UAV-g19(547-551).
DOI Link 1912
BibRef

Yermo, M., Martínez, J., Lorenzo, O.G., Vilariño, D.L., Cabaleiro, J.C., Pena, T.F., Rivera, F.F.,
Automatic Detection and Characterisation of Power Lines and Their Surroundings Using Lidar Data,
Laser19(1161-1168).
DOI Link 1912
BibRef

Ganovelli, F., Malomo, L., Scopigno, R.,
Reconstructing Power Lines from Images,
IVCNZ18(1-6)
IEEE DOI 1902
Wires, Cameras, Image segmentation, Image reconstruction, Image edge detection, power lines BibRef

Gubbi, J.[Jayavardhana], Varghese, A.[Ashley], Balamuralidhar, P.,
A new deep learning architecture for detection of long linear infrastructure,
MVA17(207-210)
DOI Link 1708
Adaptation models, Data models, Drones, Feature extraction, Machine learning, Monitoring, Training BibRef

Zhou, X.[Xiao], Zheng, X.L.[Xiao-Liang], Ou, K.[Kejun],
Power line detect system based on stereo vision and FPGA,
ICIVC17(715-719)
IEEE DOI 1708
Decision making, Digital signal processing, Field programmable gate arrays, Image edge detection, Real-time systems, Robustness, Shape, FPGA, census transform, morphology, power line detect, real time, stereo, vision BibRef