24.1.7 Road Extraction in Radar, SAR, Lidar, Laser, Depth

Chapter Contents (Back)
Road Detection. Aerial Image Analysis. SAR, Roads. Radar, Roads. LiDAR, Roads.

Tupin, F., Maitre, H., Mangin, J.F., Nicolas, J.M., Pechersky, E.,
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IEEE Top Reference. 9804
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Toutin, T.[Thierry],
Potential of Road Stereo Mapping with RADARSAT Images,
PhEngRS(67), No. 9, September 2001, pp. 1077-1083. Evaluation of image content and positioning accuracy of roads stereo-extracted from RADARSAT fine and standard mode images. 0201
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Jeon, B.K.[Byoung-Ki], Jang, J.H.[Jeong-Hun], Hong, K.S.[Ki-Sang],
Road Detection in Spaceborne SAR Images Using a Genetic Algorithm,
GeoRS(40), No. 1, January 2002, pp. 22-29.
IEEE Top Reference. 0203
BibRef
Earlier:
Road Detection in SAR Images Using Genetic Algorithm with Region Growing Concept,
ICIP00(Vol II: 688-691).
IEEE DOI 0008
BibRef

Tupin, F., Houshmand, B., Datcu, M.,
Road detection in dense urban areas using SAR imagery and the usefulness of multiple views,
GeoRS(40), No. 11, November 2002, pp. 2405-2414.
IEEE Top Reference. 0301
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Dell'Acqua, F.[Fabio], Gamba, P.[Paolo],
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Gamba, P.[Paolo], Dell'Acqua, F.[Fabio], Houshmand, B.[Bijan],
SRTM Data Characterization in Urban Areas,
PCV02(B: 55). 0305
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Dell'Acqua, F.[Fabio], Gamba, P.[Paolo],
Detection of Urban Structures in SAR Images by Robust Fuzzy Clustering Algorithms: The Example of Street Tracking,
GeoRS(39), No. 10, October 2001, pp. 2287-2297.
IEEE Top Reference. 0111

See also Texture-Based Characterization of Urban Environments on Satellite SAR Images.
See also Detection and Extraction of Buildings from Interferometric SAR Data. BibRef

Dell'Acqua, F., Gamba, P., Lisini, G.,
Rapid mapping of high resolution SAR scenes,
PandRS(64), No. 5, September 2009, pp. 482-489.
Elsevier DOI 0910
SAR; Scene interpretation; Textural features; Road extraction
See also Improvements to urban area characterization using multitemporal and multiangle SAR images.
See also Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data. BibRef

Stasolla, M., Gamba, P.,
Exploiting Spatial Patterns for Informal Settlement Detection in Arid Environments Using Optical Spaceborne Data,
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PDF File. 0711
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Negri, M., Gamba, P., Lisini, G., Tupin, F.,
Junction-Aware Extraction and Regularization of Urban Road Networks in High-Resolution SAR Images,
GeoRS(44), No. 10, October 2006, pp. 2962-2971.
IEEE DOI 0609
BibRef

Hedman, K., Stilla, U., Lisini, G., Gamba, P.,
Road Network Extraction in VHR SAR Images of Urban and Suburban Areas by Means of Class-Aided Feature-Level Fusion,
GeoRS(48), No. 3, March 2010, pp. 1294-1296.
IEEE DOI 1003
BibRef

Bentabet, L., Jodouin, S., Ziou, D., Vaillancourt, J.,
Road vectors update using SAR imagery: a snake-based method,
GeoRS(41), No. 8, August 2003, pp. 1785-1803.
IEEE Abstract. 0308
BibRef

Clode, S.P.[Simon P.], Rottensteiner, F.[Franz], Kootsookos, P.[Peter], Zelniker, E.[Emanuel],
Detection and Vectorization of Roads from Lidar Data,
PhEngRS(73), No. 5, May 2007, pp. 517-536.
WWW Link. 0709
BibRef
Earlier: A1, A2, A3, Only:
Improving City Model Determination by using Road Detection from LIDAR Data,
CMRT05(xx-yy).
PDF File. 0508
An automatic detection and vectorization method for roads from lidar data that extracts roads from a lidar point cloud using a hierarchical classification method.
See also Building detection by fusion of airborne laser scanner data and multi-spectral images: Performance evaluation and sensitivity analysis. BibRef

Youn, J.H.[Jun-Hee], Bethel, J.S.[James S.], Mikhail, E.M.[Edward M.], Lee, C.[Changno],
Extracting Urban Road Networks from High-resolution True Orthoimage and Lidar,
PhEngRS(74), No. 2, February 2008, pp. 227-238.
WWW Link. 0803
To extract urban area road networks, road candidates are extracted with newly developed acupuncture method and refined by a blocking mask from high-resolution true orthoimage and lidar. BibRef

Cai, H.[Hubo], Rasdorf, W.[William],
Accuracy Evaluation and Sensitivity Analysis of Estimating 3D Road Centerline Length using Lidar and NED,
PhEngRS(75), No. 6, June 2009, pp. 657-666.
WWW Link. 0910
An approach to model transportation linear objects in a 3D space and estimate their 3D lengths using planimetric road centerline data and elevation data (Lidar and NED) and quantify the accuracy. BibRef

White, R., Dietterick, B., Mastin, T., Strohman, R.,
Forest Roads Mapped Using LiDAR in Steep Forested Terrain,
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BibRef

Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Guan, H.Y.[Hai-Yan], Wang, C.[Cheng],
Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data,
ITS(16), No. 4, August 2015, pp. 2167-2181.
IEEE DOI 1508
Clustering algorithms
See also Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data. BibRef

Wang, H.Y.[Han-Yun], Cai, Z.P.[Zhi-Peng], Luo, H.[Huan], Wang, C.[Cheng], Li, P.[Peng], Yang, W.T.[Wen-Tao], Ren, S.P.[Suo-Ping], Li, J.[Jonathan],
Automatic Road Extraction from Mobile Laser Scanning Data,
CVRS12(136-139).
IEEE DOI 1302
BibRef

Zhang, S.X.[Shan-Xin], Wang, C.[Cheng], Yang, Z.[Zhuang], Chen, Y.P.[Yi-Ping], Li, J.[Jonathan],
Automatic Railway Power Line Extraction Using Mobile Laser Scanning Data,
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BibRef

Ye, C.M.[Cheng-Ming], Li, J.[Jonathan], Jiang, H.[Han], Zhao, H.[He], Ma, L.F.[Ling-Fei], Chapman, M.[Michael],
Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data,
ITS(21), No. 5, May 2020, pp. 1877-1890.
IEEE DOI 2005
Mobile laser scanning (MLS), road transition line, high-definition road map (HDRM), unmanned aerial vehicle (UAV) BibRef

Sherba, J.[Jason], Blesius, L.[Leonhard], Davis, J.[Jerry],
Object-Based Classification of Abandoned Logging Roads under Heavy Canopy Using LiDAR,
RS(6), No. 5, 2014, pp. 4043-4060.
DOI Link 1407
BibRef

Vaaja, M.T.[Matti T.], Kurkela, M.[Matti], Virtanen, J.P.[Juho-Pekka], Maksimainen, M.[Mikko], Hyyppä, H.[Hannu], Hyyppä, J.[Juha], Tetri, E.[Eino],
Luminance-Corrected 3D Point Clouds for Road and Street Environments,
RS(7), No. 9, 2015, pp. 11389.
DOI Link 1511
BibRef

Ferraz, A.[António], Mallet, C.[Clément], Chehata, N.[Nesrine],
Large-scale road detection in forested mountainous areas using airborne topographic lidar data,
PandRS(112), No. 1, 2016, pp. 23-36.
Elsevier DOI 1602
Lidar BibRef

Hui, Z.Y.[Zhen-Yang], Hu, Y.J.[You-Jian], Jin, S.G.[Shuang-Gen], Yevenyo, Y.Z.[Yao Ziggah],
Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization,
PandRS(118), No. 1, 2016, pp. 22-36.
Elsevier DOI 1606
Road centerline extraction BibRef

Xu, R.[Rui], He, C.[Chu], Liu, X.L.[Xin-Long], Chen, D.[Dong], Qin, Q.Q.[Qian-Qing],
Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Jiang, M., Miao, Z., Gamba, P., Yong, B.,
Application of Multitemporal InSAR Covariance and Information Fusion to Robust Road Extraction,
GeoRS(55), No. 6, June 2017, pp. 3611-3622.
IEEE DOI 1706
Coherence, Data mining, Detectors, Feature extraction, Roads, Robustness, Synthetic aperture radar, Covariance matrix estimation, information fusion, interferometric synthetic aperture radar (SAR), road, extraction BibRef

Yang, B.S.[Bi-Sheng], Liu, Y.[Yuan], Dong, Z.[Zhen], Liang, F.X.[Fu-Xun], Li, B.J.[Bi-Jun], Peng, X.Y.[Xiang-Yang],
3D local feature BKD to extract road information from mobile laser scanning point clouds,
PandRS(130), No. 1, 2017, pp. 329-343.
Elsevier DOI 1708
Point, cloud, processing BibRef

Zhang, Z.Q.[Zhi-Qiang], Zhang, X.C.[Xin-Chang], Sun, Y.[Ying], Zhang, P.C.[Peng-Cheng],
Road Centerline Extraction from Very-High-Resolution Aerial Image and LiDAR Data Based on Road Connectivity,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Palm, S., Sommer, R., Stilla, U.,
Mobile Radar Mapping: Subcentimeter SAR Imaging of Roads,
GeoRS(56), No. 11, November 2018, pp. 6734-6746.
IEEE DOI 1811
Synthetic aperture radar, Sensors, Radar imaging, Roads, Laser radar, Geometry, Millimeter wave radar, radar resolution, synthetic aperture radar (SAR) BibRef

Chen, Z.[Zhuo], Liu, C.[Chun], Wu, H.[Hangbin],
A higher-order tensor voting-based approach for road junction detection and delineation from airborne LiDAR data,
PandRS(150), 2019, pp. 91-114.
Elsevier DOI 1903
Aerial laser scanning, Higher-Order Tensor Voting (HOTV), Road junction detection, Road junction delineation, Template matching BibRef

Li, N., Liu, C., Pfeifer, N., Yin, J.F., Liao, Z.Y., Zhou, Y.,
Tensor Modeling Based For Airborne Lidar Data Classification,
ISPRS16(B3: 283-287).
DOI Link 1610
BibRef

Li, N.[Nan], Pfeifer, N.[Norbert], Liu, C.[Chun],
Tensor-Based Sparse Representation Classification for Urban Airborne LiDAR Points,
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BibRef

Xiao, F.H.[Fang-Hong], Tong, L.[Ling], Luo, S.Y.[Shi-Yu],
A Method for Road Network Extraction from High-Resolution SAR Imagery Using Direction Grouping and Curve Fitting,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Kweon, H.[Hyeongkeun], Seo, J.I.[Jung Il], Lee, J.W.[Joon-Woo],
Assessing the Applicability of Mobile Laser Scanning for Mapping Forest Roads in the Republic of Korea,
RS(12), No. 9, 2020, pp. xx-yy.
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Novo, A.[Ana], Fariñas-Álvarez, N.[Noelia], Martínez-Sánchez, J.[Joaquin], González-Jorge, H.[Higinio], Lorenzo, H.[Henrique],
Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Parajuli, B., Choudhury, A.R., Kumar, P.,
Reconstructing Road Network Graphs from both Aerial Lidar and Images,
WACV20(1726-1735)
IEEE DOI 2006
Roads, Image segmentation, Laser radar, Image reconstruction, Trajectory, Image resolution BibRef

Sánchez, J.M.[Jorge Martínez], Rivera, F.F.[Francisco Fernández], Domínguez, J.C.C.[José Carlos Cabaleiro], Vilariño, D.L.[David López], Pena, T.F.[Tomás Fernández],
Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Wen, Y.H.[Yu-Han], Wang, Y.[Yan], Ding, Z.[Zegang], Zeng, T.[Tao], Chen, X.L.[Xin-Liang],
Parametric Synthetic Aperture Radar Image Recovery for Multiple Linear Structures: An Image Domain Approach,
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DOI Link 2006
BibRef

Buján, S.[Sandra], Guerra-Hernández, J.[Juan], González-Ferreiro, E.[Eduardo], Miranda, D.[David],
Forest Road Detection Using LiDAR Data and Hybrid Classification,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zhu, Z.J.[Zi-Jian], Li, X.[Xu], Xu, J.H.[Jian-Hua], Yuan, J.H.[Jian-Hua], Tao, J.[Ju],
Unstructured Road Segmentation Based on Road Boundary Enhancement Point-Cylinder Network Using LiDAR Sensor,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Sun, Z.G.[Zeng-Guo], Geng, H.[Hui], Lu, Z.[Zheng], Scherer, R.[Rafal], Wozniak, M.[Marcin],
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RS(13), No. 5, 2021, pp. xx-yy.
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van Nieuwenhuizen, N.[Nigel], Lindsay, J.B.[John B.], de Vries, B.[Ben],
Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
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Haas, J.[Jarrod], Rabus, B.[Bernhard],
Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery,
RS(13), No. 8, 2021, pp. xx-yy.
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He, W.J.[Wen-Jing], Song, H.J.[Hong-Jun], Yao, Y.Y.[Yuan-Yuan], Jia, X.[Xinlin],
A Multiscale Method for Road Network Extraction from High-Resolution SAR Images Based on Directional Decomposition and Regional Quality Evaluation,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Wei, X.C.[Xiao-Chen], Lv, X.L.[Xiao-Lei], Zhang, K.Y.[Kai-Yu],
Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Wei, X.C.[Xiao-Chen], Fu, X.[Xikai], Yun, Y.[Ye], Lv, X.L.[Xiao-Lei],
Multiscale and Multitemporal Road Detection from High Resolution SAR Images Using Attention Mechanism,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Gao, L.P.[Li-Peng], Shi, W.Z.[Wen-Zhong], Zhu, J.[Jun], Shao, P.[Pan], Sun, S.[Sitong], Li, Y.Y.[Yuan-Yang], Wang, F.[Fei], Gao, F.[Fukuan],
Novel Framework for 3D Road Extraction Based on Airborne LiDAR and High-Resolution Remote Sensing Imagery,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ma, H.C.[Hai-Chi], Ma, H.C.[Hong-Chao], Zhang, L.[Liang], Liu, K.[Ke], Luo, W.J.[Wen-Jun],
Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Fernández-Arango, D.[David], Varela-García, F.A.[Francisco-Alberto], González-Aguilera, D.[Diego], Lagüela-López, S.[Susana],
Automatic Generation of Urban Road 3D Models for Pedestrian Studies from LiDAR Data,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Mi, X.X.[Xiao-Xin], Yang, B.S.[Bi-Sheng], Dong, Z.[Zhen], Chen, C.[Chi], Gu, J.X.[Jian-Xiang],
Automated 3D Road Boundary Extraction and Vectorization Using MLS Point Clouds,
ITS(23), No. 6, June 2022, pp. 5287-5297.
IEEE DOI 2206
Roads, Feature extraction, Shape, Geometry, Surface morphology, Topology, Mobile laser scanning (MLS), point clouds, road boundary, feature extraction BibRef

Mi, X.X.[Xiao-Xin], Yang, B.S.[Bi-Sheng], Chen, C.[Chi], Yang, M., Dong, Z.[Zhen],
Automatic Road Structure Detection and Vectorization Using Mls Point Clouds,
Laser19(1069-1075).
DOI Link 1912
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Zhang, J.L.[Jing-Lin], Li, Y.X.[Yu-Xia], Si, Y.[Yu], Peng, B.[Bo], Xiao, F.H.[Fang-Hong], Luo, S.Y.[Shi-Yu], He, L.[Lei],
A Low-Grade Road Extraction Method Using SDG-DenseNet Based on the Fusion of Optical and SAR Images at Decision Level,
RS(14), No. 12, 2022, pp. xx-yy.
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Sun, L.[Libo], Zhang, H.[Haokui], Yin, W.[Wei],
Pseudo-LiDAR-Based Road Detection,
CirSysVideo(32), No. 8, August 2022, pp. 5386-5398.
IEEE DOI 2208
Roads, Laser radar, Task analysis, Semantics, Knowledge engineering, Image segmentation, Road detection, drivable area detection BibRef

Botelho, J.[Jonas], Costa, S.C.P.[Stefany C. P.], Ribeiro, J.G.[Júlia G.], Souza, C.M.[Carlos M.],
Mapping Roads in the Brazilian Amazon with Artificial Intelligence and Sentinel-2,
RS(14), No. 15, 2022, pp. xx-yy.
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Xiong, H.Y.[Hui-Yuan], Zhu, T.H.[Tao-Hong], Liu, Y.[Yu], Pan, Y.L.[Yue-Long], Wu, S.F.[Shao-Fang], Chen, L.[Long],
Road-Model-Based Road Boundary Extraction for High Definition Map via LIDAR,
ITS(23), No. 10, October 2022, pp. 18456-18465.
IEEE DOI 2210
Roads, Point cloud compression, Laser radar, Feature extraction, Data mining, Task analysis, Splines (mathematics), multiple fitting BibRef

Sun, N.[Na], Feng, Y.J.[Yong-Jiu], Tong, X.H.[Xiao-Hua], Lei, Z.K.[Zhen-Kun], Chen, S.[Shurui], Wang, C.[Chao], Xu, X.[Xiong], Jin, Y.M.[Yan-Min],
Road Network Extraction from SAR Images with the Support of Angular Texture Signature and POIs,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Wang, Y.C.[Yu-Chen], Wang, W.C.[Wei-Cheng], Liu, J.Z.[Jin-Zhou], Chen, T.H.[Tian-Heng], Wang, S.Y.[Shu-Yi], Yu, B.[Bin], Qin, X.C.[Xiao-Chun],
Framework for Geometric Information Extraction and Digital Modeling from LiDAR Data of Road Scenarios,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Yin, A.[Anchao], Ren, C.[Chao], Yan, Z.H.[Zhi-Heng], Xue, X.Q.[Xiao-Qin], Zhou, Y.[Ying], Liu, Y.Y.[Yuan-Yuan], Lu, J.[Jiakai], Ding, C.[Cong],
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RS(15), No. 18, 2023, pp. 4531.
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Wang, J.X.[Jing-Xue], Dong, X.[Xiao], Liu, G.[Guangwei],
Extraction of Urban Road Boundary Points from Mobile Laser Scanning Data Based on Cuboid Voxel,
IJGI(12), No. 10, 2023, pp. 426.
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Liu, B.[Buyu], Zhuang, B.B.[Bing-Bing], Chandraker, M.[Manmohan],
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Road Layouts,
CVPR22(16979-16988)
IEEE DOI 2210
Laser radar, Annotations, Roads, Computational modeling, Semantics, Layout, Scene analysis and understanding, 3D from single images, Navigation and autonomous driving BibRef

Treccani, D., Díaz-Vilariño, L., Adami, A.,
Sidewalk Detection and Pavement Characterisation in Historic Urban Environments From Point Clouds: Preliminary Results,
ISPRS21(B4-2021: 243-249).
DOI Link 2201
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Barçon, E., Picard, A.,
Automatic Detection and Vectorization of Linear and Point Objects in 3d Point Cloud and Panoramic Images From Mobile Mapping System,
ISPRS21(B2-2021: 305-312).
DOI Link 2201
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Tsiakas, K.[Kosmas], Kostavelis, I.[Ioannis], Giakoumis, D.[Dimitrios], Tzovaras, D.[Dimitrios],
Road Tracking in Semi-structured Environments Using Spatial Distribution of Lidar Data,
PRAConBE20(432-445).
Springer DOI 2103
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Tan, W., Qin, N., Ma, L., Li, Y., Du, J., Cai, G., Yang, K., Li, J.,
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways,
EarthVision20(797-806)
IEEE DOI 2008
Dataset, LiDAR. Semantics, Roads, Laser radar, Sensors, Machine learning, Automobiles BibRef

Previtali, M., Barazzetti, L., Scaioni, M.,
Automated Road Information Extraction From High Resolution Aerial Lidar Data for Smart Road Applications,
ISPRS20(B3:533-539).
DOI Link 2012
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Lazari Zare, M., Tabib Mahmoudi, F.,
Road Recognition Based On Decision Level Fusion of SAR and Optic Data,
SMPR19(665-669).
DOI Link 1912
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Bulatov, D., Warnke, S.,
Extraction of Road Pixels from Airborne Image and Elevation Data: Focusing on Feature Selection,
DICTA17(1-7)
IEEE DOI 1804
feature extraction, feature selection, image classification, image filtering, image fusion, image segmentation, Training data BibRef

Jeong, J., Lee, I.,
Classification Of Lidar Data For Generating A High-precision Roadway Map,
ISPRS16(B3: 251-254).
DOI Link 1610
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Li, Y.[Yan], Wu, J.L.[Jian-Liang], Zhu, L.[Lin], Tachibana, K.[Kikuo],
Road Network Extraction from DSM By Mathematical Morphology And Reasoning,
ISPRS16(B2: 715-720).
DOI Link 1610
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Qiu, K.J.[Kai-Jin], Sun, K.[Kai], Ding, K.[Kou], Shu, Z.[Zhen],
A Fast And Robust Algorithm For Road Edges Extraction From Lidar Data,
ISPRS16(B5: 693-698).
DOI Link 1610
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Kaczalek, B., Borkowski, A.,
Urban Road Detection In Airbone Laser Scanning Point Cloud Using Random Forest Algorithm,
ISPRS16(B3: 255-259).
DOI Link 1610
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Shu, Z.[Zhen], Sun, K.[Kai], Qiu, K.J.[Kai-Jin], Ding, K.[Kou],
Pairwise-svm For On-board Urban Road Lidar Classification,
ISPRS16(B1: 109-113).
DOI Link 1610
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Zhao, J.Q., Yang, J., Li, P.X., Lu, J.M.,
Semi-automatic Road Extraction from SAR images using EKF and PF,
IWIDF15(227-230).
DOI Link 1508
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Wang, Y., Hu, X.,
Automatic Extraction and Topology Reconstruction of Urban Viaducts from LIDAR Data,
CMRT15(131-135).
DOI Link 1602
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Gao, L., Shi, W., Wan, Y.,
A Quality Assessment Method for 3D Road Polygon Objects,
ISSDQ15(45-49).
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2D road with LIDAR. BibRef

Koch, M.W.[Mark W.], Moya, M.M.[Mary M.], Chow, J.G.[Jim G.], Goold, J.[Jeremy], Malinas, R.[Rebecca],
Road segmentation using multipass single-pol synthetic aperture radar imagery,
PBVS15(151-160)
IEEE DOI 1510
Image edge detection BibRef

Mohamad, M., Kusevic, K.[Kresimir], Mrstik, P.[Paul], Greenspan, M.[Michael],
Automatic Rail Extraction in Terrestrial and Airborne LiDAR Data,
3DV13(303-309)
IEEE DOI 1311
Kalman filters BibRef

Morioka, K.[Kotaro], Ohtake, Y.[Yutaka], Suzuki, H.[Hiromasa],
Reconstruction of Wire Structures from Scanned Point Clouds,
ISVC13(I:427-436).
Springer DOI 1310
Wire Detection. Not roads, but doesn't fit anywhere else. BibRef

Dal Poz, A.P., Mendes, T.S.G.,
Road Region Detection in Urban Areas Combining High-Resolution RGB Image and Laser Scanning Data in a Classification Framework,
Hannover13(53-56).
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Lotte, R.G., Sant'Anna, S.J.S., Almeida, C.M.,
Roads Centre-Axis Extraction in Airborne SAR Images: An Approach Based on Active Contour Model with the Use of Semi-Automatic Seeding,
Hannover13(207-212).
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Kosov, S.[Sergey], Rottensteiner, F.[Franz], Heipke, C.[Christian],
Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields,
GCPR13(153-163).
Springer DOI 1311

See also two-layer Conditional Random Field model for simultaneous classification of land cover and land use, A. BibRef

Kosov, S.[Sergey], Rottensteiner, F.[Franz], Heipke, C.[Christian], Leitloff, J., Hinz, S.,
3d Classification Of Crossroads From Multiple Aerial Images Using Markov Random Fields,
ISPRS12(XXXIX-B3:479-484).
DOI Link 1209
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Li, H.Y.[Hui-Ying], Xu, Y.J.[Yu-Jun], Wang, Z.[Zhi], Lu, Y.N.[Yi-Nan],
Hierarchical Algorithm in DTM Generation And Automatic Extraction Of Road From Lidar Data,
ISPRS12(XXXIX-B3:133-136).
DOI Link 1209
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Li, L.[Luqi], Zhang, J.[Jing], Wang, T.[Tun],
Study on the Method of Extracting Overpass from the High Resolution Remote Sensing Image with the Auxiliary Data-DEM,
ISIDF11(1-4).
IEEE DOI 1111
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Chen, X., Wu, T., Niu, N.,
Change Detection of Multi-Polarimetric SAR Data Based on Principal Component Analysis,
IWIDF13(11-13).
DOI Link 1311
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Ibrahim, S.[Sherif], Lichti, D.D.[Derek D.],
Curb-based Street Floor Extraction From Mobile Terrestrial Lidar Point Cloud,
ISPRS12(XXXIX-B5:193-198).
DOI Link 1209
BibRef

Ibrahim, S.[Sherif], Moussa, A.[Adel], Lichti, D.D.[Derek D.], El-Sheimy, N.[Naser],
Detection of Road Curb from Mobile Terrestrial Laser Scanner Point Cloud,
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DOI Link 1109
BibRef

Teoh, S.T.[Soon Tee],
Computer-Assisted Creation of 3D Models of Freeway Interchanges,
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Springer DOI 1011
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Qian, C.[Cheng], Gale, B.[Bill], Bach, J.[Jeff],
Earth documentation: Overpass detection using mobile Lidar,
ICIP10(3901-3904).
IEEE DOI 1009
BibRef

Zhang, Q.P.[Qiao-Ping], Giovannini, L.[Luca], Simantov, M.[Michael], de Vries, J.[Jennifer], Vuong, M.[Maelynn], Griffiths, S.[Stephen], Mercer, B.[Bryan], Li, X.P.[Xiao-Peng],
Extraction of 3D road geometry based on IFSAR data,
PCVIA10(B:24).
PDF File. 1009
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Denis, E.[Eloïse], Burk, R.[Renaud], Baillard, C.[Caroline],
Towards road modelling from terrestrial laser points,
PCVIA10(A:293).
PDF File. 1009
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Smadja, L.[Laurent], Ninot, J.[Jérome], Gavrilovic, T.[Thomas],
Road Extraction and Environment Interpretation from Lidar Sensors,
PCVIA10(A:281).
PDF File. 1009
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Zhang, Q.[Qiaoping], Simantov, M.[Michael], de Vries, J.[Jennifer], Griffiths, S.[Stephen],
Assigning elevations to 2D road network based on IFSAR derived DEMs,
CGC10(145).
PDF File. 1006
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Poz, A.D.[Aluir Dal], Silva, J.[João], Gallis, R.[Rodrigo],
3D road extraction using a stereo pair of aerial images,
CGC10(64).
PDF File. 1006
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Zhu, Q.H.[Qi-Hui], Mordohai, P.[Philippos],
A minimum cover approach for extracting the road network from airborne LIDAR data,
3DIM09(1582-1589).
IEEE DOI 0910
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David, N.[Nicolas], Mallet, C.[Clément], Pons, T.[Thomas], Chauve, A.[Adrien], Bretar, F.[Frédéric],
Pathway detection and geometrical description from ALS data in forested mountaneous area,
Laser09(242). 0909
BibRef

Samadzadegan, F.[Farhad], Bigdeli, B.[Behnaz], Hahn, M.[Michael],
Automatic Road Extraction from Lidar Data Based on Classifier Fusion in Urban Area,
Laser09(81). 0909
BibRef

Goepfert, J.[Jens], Rottensteiner, F.[Franz],
Adaptation of Roads to ALS Data by Means of Networks Snakes,
Laser09(24). 0909
BibRef

Vosselman, G.[George], Zhou, L.[Liang],
Detection of Curbstones in Airborne Laser Scanning Data,
Laser09(111). 0909

See also Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data. BibRef

Cheng, M., Ye, Q.,
Road Extraction from SAR Image Using an Improved Statistical Algorithm,
ISPRS08(B3b: 605 ff).
PDF File. 0807
BibRef

Chen, Y.L.[Yi-Lun], Yang, Q.[Qiong], Gu, Y.T.[Yuan-Tao], Yang, J.[Jian],
Detection of Roads in SAR Images using Particle Filter,
ICIP06(2337-2340).
IEEE DOI 0610
BibRef

Bolon, P., Chanussot, J., Issa, I., Lambert, P.,
Comparison of Prefiltering Operators for Road Network Extraction in SAR Images,
ICIP99(II:924-928).
IEEE DOI BibRef 9900

Jeon, B.K.[Byoung-Ki], Jang, J.H.[Jeoung-Hun], Hong, K.S.[Ki-Sang],
Road Detection in Spaceborne SAR Images Based on Ridge Extraction,
ICIP99(II:735-739).
IEEE DOI BibRef 9900

Ma, B., Lakshmanan, S., and Hero, A.,
Detection of Curved Road Edges in Radar Images Via Deformable Templates,
ICIP97(I: 857-860).
IEEE DOI BibRef 9700

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Road Marking Detection, Visible, LiDAR .


Last update:Mar 16, 2024 at 20:36:19