Baker, D.C.,
Hwang, S.S., and
Aggarwal, J.K.,
Detection and Segmentation of Man-Made Objects in Outdoor Scenes:
Concrete Bridges,
JOSA-A(6), No. 6, June 1989, pp. 938-950.
Find the geometric structure and combine with color
information to segment the structure.
BibRef
8906
Wang, Y.,
Zheng, Q.F.,
Recognition of Roads and Bridges in SAR Images,
PR(31), No. 7, July 1998, pp. 953-962.
Elsevier DOI
9807
BibRef
Sithole, G.[George],
Vosselman, G.[George],
Bridge detection in airborne laser scanner data,
PandRS(61), No. 1, October 2006, pp. 33-46.
Elsevier DOI
0610
BibRef
Earlier:
Filtering of airborne laser scanner data based on segmented point
clouds,
Laser05(xx-yy).
PDF File.
0509
Algorithms; Lidar; Laser scanning; Geometric; Point cloud;
Segmentation; Classification
See also Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds.
BibRef
Chaudhuri, D.,
Samal, A.,
An Automatic Bridge Detection Technique for Multispectral Images,
GeoRS(46), No. 9, September 2008, pp. 2720-2727.
IEEE DOI
0810
BibRef
Song, G.H.[Guo-Hua],
Zhang, F.[Fan],
Liu, J.[Jun],
Yu, L.[Liu],
Gao, Y.[Yong],
Yu, L.[Lei],
Floating car data-based method for detecting flooding incident under
grade separation bridges in Beijing,
IET-ITS(9), No. 8, 2015, pp. 817-823.
DOI Link
1511
bridges (structures)
BibRef
Michaelsen, E.[Eckart],
Meidow, J.[Jochen],
Stochastic reasoning for structural pattern recognition:
An example from image-based UAV navigation,
PR(47), No. 8, 2014, pp. 2732-2744.
Elsevier DOI
1405
Structural pattern recognition
Recognition of landmarks (bridges) is performed by a knowledge-based system.
BibRef
Liao, W.[Wei],
Wörz, S.[Stefan],
Kang, C.K.[Chang-Ki],
Cho, Z.H.[Zang-Hee],
Rohr, K.[Karl],
Progressive Minimal Path Method for Segmentation of 2D and 3D Line
Structures,
PAMI(40), No. 3, March 2018, pp. 696-709.
IEEE DOI
1802
Arteries, Bridges, Feature extraction, Image segmentation, Propagation,
Satellites, segmentation of line structures.
BibRef
Chen, L.[Lifu],
Weng, T.[Ting],
Xing, J.[Jin],
Pan, Z.H.[Zhou-Hao],
Yuan, Z.H.[Zhi-Hui],
Xing, X.M.[Xue-Min],
Zhang, P.[Peng],
A New Deep Learning Network for Automatic Bridge Detection from SAR
Images Based on Balanced and Attention Mechanism,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Liu, C.[Chun],
Yang, J.[Jian],
Ou, J.H.[Jiang-Hong],
Fan, D.[Dahua],
Offshore Bridge Detection in Polarimetric SAR Images Based on Water
Network Construction Using Markov Tree,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Jing, Y.F.[Ya-Fei],
Ren, Y.H.[Yu-Huan],
Liu, Y.[Yalan],
Wang, D.C.[Da-Cheng],
Yu, L.J.[Lin-Jun],
Dam Extraction from High-Resolution Satellite Images Combined with
Location Based on Deep Transfer Learning and Post-Segmentation with
an Improved MBI,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
Not really a bridge.
BibRef
Liu, C.[Chun],
Li, C.[Chao],
Yang, J.[Jian],
Hu, L.P.[Li-Ping],
Sea-Crossing Bridge Detection in Polarimetric SAR Images Based on
Windowed Level Set Segmentation and Polarization Parameter
Discrimination,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Poku-Agyemang, K.N.[Kwasi Nyarko],
Reiterer, A.[Alexander],
3D Reconstruction from 2D Plans Exemplified by Bridge Structures,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Ren, S.G.[Shou-Gang],
Fang, Z.[Zhiruo],
Gu, X.J.[Xing-Jian],
A Cross Stage Partial Network with Strengthen Matching Detector for
Remote Sensing Object Detection,
RS(15), No. 6, 2023, pp. 1574.
DOI Link
2304
Detect objects such as bridge, overpass, dam.
BibRef
Tonelli, D.[Daniel],
Caspani, V.F.[Valeria F.],
Valentini, A.[Andrea],
Rocca, A.[Alfredo],
Torboli, R.[Riccardo],
Vitti, A.[Alfonso],
Perissin, D.[Daniele],
Zonta, D.[Daniele],
Interpretation of Bridge Health Monitoring Data from Satellite InSAR
Technology,
RS(15), No. 21, 2023, pp. 5242.
DOI Link
2311
BibRef
Jung, J.T.[Jan Thomas],
Merkle, D.[Dominik],
Reiterer, A.[Alexander],
Automated Camera Pose Generation for High-Resolution 3D
Reconstruction of Bridges by Unmanned Aerial Vehicles,
RS(16), No. 8, 2024, pp. 1393.
DOI Link
2405
BibRef
Li, J.Y.[Jian-Yong],
Xu, Z.D.[Zi-Dong],
Zhang, X.D.[Xue-Dong],
Ma, W.Y.[Wei-Yu],
He, S.G.[Shu-Guang],
A Persistent Scatterer Point Selection Method for Deformation
Monitoring of Under-Construction Cross-Sea Bridges Using Statistical
Theory and GMM-EM Algorithm,
RS(16), No. 12, 2024, pp. 2197.
DOI Link
2406
BibRef
Ventura, R.[Roberto],
Maternini, G.[Giulio],
Barabino, B.[Benedetto],
Traffic Hazards on Main Road's Bridges: Real-Time Estimating and
Managing the Overload Risk,
ITS(25), No. 9, September 2024, pp. 12239-12255.
IEEE DOI
2409
Bridges, Telecommunication traffic, Hazards, Costs, Load modeling,
Roads, Risk management, Bridge overload risk, traffic load hazard
BibRef
Li, Y.S.[Yan-Sheng],
Luo, J.W.[Jun-Wei],
Zhang, Y.J.[Yong-Jun],
Tan, Y.H.[Yi-Hua],
Yu, J.G.[Jin-Gang],
Bai, S.[Song],
Learning to Holistically Detect Bridges From Large-Size VHR Remote
Sensing Imagery,
PAMI(46), No. 12, December 2024, pp. 11507-11523.
IEEE DOI
2411
Bridges, Object detection, Remote sensing, Task analysis,
Graphics processing units, Benchmark testing, Annotations,
very -high-resolution (VHR)
BibRef
Casas, J.R.[Joan R.],
Chacón, R.[Rolando],
Catbas, N.[Necati],
Riveiro, B.[Belén],
Tonelli, D.[Daniel],
Remote Sensing in Bridge Digitalization: A Review,
RS(16), No. 23, 2024, pp. 4438.
DOI Link
2501
BibRef
Zhang, S.[Song],
Yang, Y.T.[Yun-Tao],
Xie, Y.L.[Yi-Lin],
Tang, H.R.[Hao-Ran],
Li, H.Y.[Hai-Yang],
Yao, L.[Lianbi],
Yang, Y.[Yin],
GNSS Signal Extraction Using CEEMDAN-WPD for Deformation Monitoring
of Ropeway Pillars,
RS(17), No. 2, 2025, pp. 224.
DOI Link
2502
BibRef
Zhang, K.X.[Kai-Xuan],
Xiao, W.[Weifo],
Zhu, H.J.[Hao-Jie],
Ning, S.W.[Shao-Wei],
Huang, S.[Shenjiang],
Jin, D.X.[Dong-Xing],
A, R.[Rong],
Thapa, B.R.[Bhesh Raj],
Analysis of Uneven Settlement of Long-Span Bridge Foundations Based
on SBAS-InSAR,
RS(17), No. 2, 2025, pp. 248.
DOI Link
2502
BibRef
Lorite Martínez, S.,
Moreno Jabato, J.,
Garrido Sáenz de Tejada, J.M.,
Rodríguez-Cuenca, B.,
Automatic Classification of Bridges and Continental Water Bodies From
3d Point Clouds (aerial Lidar),
Laser19(1047-1051).
DOI Link
1912
BibRef
Wu, T.[Tao],
Ren, Q.[Qinan],
Chen, X.[Xi],
Niu, L.[Lei],
Ruan, X.W.[Xiang-Wei],
Highway Bridge Detection Based on PCA Fusion in Airborne Multiband High
Resolution SAR Images,
ISIDF11(1-3).
IEEE DOI
1111
BibRef
Gu, D.Y.[Duo-Yu],
Zhu, C.F.[Cheng-Fei],
Shen, H.[Hao],
Hu, J.Z.[Jin-Zong],
Chang, H.X.[Hong-Xing],
Automatic Bridge Extraction for Optical Images,
ICIG11(446-451).
IEEE DOI
1109
BibRef
Goepfert, J.[Jens],
Rottensteiner, F.[Franz],
Using building and bridge information for adapting roads to ALS data by
means of network snakes,
PCVIA10(A:163).
PDF File.
1009
BibRef
Soergel, U.[Uwe],
Gross, H.[Hermann],
Thiele, A.[Antje],
Thoennessen, U.[Ulrich],
Extraction of Bridges over Water in Multi-Aspect High-Resolution InSAR
Data,
PCV06(xx-yy).
PDF File.
0609
BibRef
Trias-Sanz, R.[Roger],
Loménie, N.[Nicolas],
Automatic Bridge Detection in High-Resolution Satellite Images,
CVS03(172 ff).
Springer DOI
0306
BibRef
Ritter, G.X.,
Gader, P.D.,
Davidson, J.L.,
Automated Bridge Detection in FLIR Images,
ICPR86(862-864).
BibRef
8600
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Road Detection from Vehicle Tracking, GPS, etc. .