24.1.1 Road Extraction Systems for High Resolution Data

Chapter Contents (Back)
Remote Sensing. Road Network. Road Detection. Recognize Roads. High Resolution.

Trinder, J.C., Wang, Y., Sowmya, A., Palhang, M.,
Artificial Intelligence in 3-D Feature Extraction,
Ascona97(257-266). Generalized antiparallel pair. Group along curves. Recognize as a road. High resolution roads. BibRef 9700

Couloigner, I.[Isabelle], Ranchin, T.[Thierry],
Mapping of Urban Areas: A Multiresolution Modeling Approach for Semi-Automatic Extraction of Streets,
PhEngRS(66), No. 7, July 2000, pp. 867-874. A semi-automatic and generic multiresolution extraction of urban road networks from very high spatial resolution imagery using multiresolution analysis and wavelet transform is proposed. 0008
BibRef

Zhang, Q.P.[Qiao-Ping], Couloigner, I.[Isabelle],
Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery,
PRL(27), No. 9, July 2006, pp. 937-946.
Elsevier DOI Road extraction; Image segmentation; Shape descriptor; Texture 0605
BibRef

Mena, J.B.[Juan B.], Malpica, J.A.[José A.],
An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery,
PRL(26), No. 9, 1 July 2005, pp. 1201-1220.
Elsevier DOI 0506
BibRef

Malpica, J.A.[José A.], Mena, J.B.[Juan B.], González-Matesanz, F.J.[Francisco J.],
Extraction of Cartographic Features from a High Resolution Satellite Image,
ISVC07(II: 611-620).
Springer DOI 0711
BibRef

Pollak, K.[Keren], Peled, A.[Ammatzia], Hakkert, S.[Shalom],
Geo-Based Statistical Models for Vulnerability Prediction of Highway Network Segments,
IJGI(3), No. 2, 2014, pp. 619-637.
DOI Link 1405
BibRef

Liu, R.[Ruyi], Miao, Q.G.[Qi-Guang], Huang, B.[Bormin], Song, J.F.[Jian-Feng], Debayle, J.[Johan],
Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection,
JVCIR(40, Part A), No. 1, 2016, pp. 300-311.
Elsevier DOI 1609
Road centerlines extraction BibRef

Maboudi, M.[Mehdi], Amini, J.[Jalal], Hahn, M.[Michael], Saati, M.[Mehdi],
Road Network Extraction from VHR Satellite Images Using Context Aware Object Feature Integration and Tensor Voting,
RS(8), No. 8, 2016, pp. 637.
DOI Link 1609
BibRef

Alshehhi, R.[Rasha], Marpu, P.R.[Prashanth Reddy],
Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images,
PandRS(126), No. 1, 2017, pp. 245-260.
Elsevier DOI 1704
Road networks BibRef

Panboonyuen, T.[Teerapong], Jitkajornwanich, K.[Kulsawasd], Lawawirojwong, S.[Siam], Srestasathiern, P.[Panu], Vateekul, P.[Peerapon],
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Panboonyuen, T.[Teerapong], Jitkajornwanich, K.[Kulsawasd], Lawawirojwong, S.[Siam], Srestasathiern, P.[Panu], Vateekul, P.[Peerapon],
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Panboonyuen, T.[Teerapong], Jitkajornwanich, K.[Kulsawasd], Lawawirojwong, S.[Siam], Srestasathiern, P.[Panu], Vateekul, P.[Peerapon],
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Liu, J.[Jian], Qin, Q.M.[Qi-Ming], Li, J.[Jun], Li, Y.P.[Yun-Peng],
Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Xu, Y.Y.[Yong-Yang], Xie, Z.[Zhong], Feng, Y.X.[Ya-Xing], Chen, Z.L.[Zhan-Long],
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Gao, L.[Lin], Song, W.D.[Wei-Dong], Dai, J.[Jiguang], Chen, Y.[Yang],
Road Extraction from High-Resolution Remote Sensing Imagery Using Refined Deep Residual Convolutional Neural Network,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Liu, Y.H.[Ya-Hui], Yao, J.[Jian], Lu, X.H.[Xiao-Hu], Xia, M.H.[Meng-Han], Wang, X.B.[Xing-Bo], Liu, Y.[Yuan],
RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images,
GeoRS(57), No. 4, April 2019, pp. 2043-2056.
IEEE DOI 1904
convolutional neural nets, edge detection, feature extraction, image annotation, image classification, image resolution, user interaction BibRef

Huan, H.[Hai], Sheng, Y.[Yu], Zhang, Y.[Yi], Liu, Y.[Yuan],
Strip Attention Networks for Road Extraction,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Xin, J.[Jiang], Zhang, X.C.[Xin-Chang], Zhang, Z.Q.[Zhi-Qiang], Fang, W.[Wu],
Road Extraction of High-Resolution Remote Sensing Images Derived from DenseUNet,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Dai, J.G.[Ji-Guang], Zhu, T.T.[Ting-Ting], Zhang, Y.L.[Yi-Lei], Ma, R.C.[Rong-Chen], Li, W.T.[Wan-Tong],
Lane-Level Road Extraction from High-Resolution Optical Satellite Images,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Cira, C.I.[Calimanut-Ionut], Alcarria, R.[Ramon], Manso-Callejo, M.Á.[Miguel-Ángel], Serradilla, F.[Francisco],
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Zhou, M.T.[Ming-Ting], Sui, H.G.[Hai-Gang], Chen, S.X.[Shan-Xiong], Wang, J.D.[Jin-Di], Chen, X.[Xu],
BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery,
PandRS(168), 2020, pp. 288-306.
Elsevier DOI 2009
Road extraction, Deep learning, Coarse to fine learning, Spatial context module, Road dataset BibRef

Lin, Y.N.[Ye-Neng], Xu, D.Y.[Dong-Yun], Wang, N.[Nan], Shi, Z.[Zhou], Chen, Q.X.[Qiu-Xiao],
Road Extraction from Very-High-Resolution Remote Sensing Images via a Nested SE-Deeplab Model,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef
And: Correction: RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 1806
BibRef

Xu, Z.Y.[Ze-Yu], Shen, Z.F.[Zhan-Feng], Li, Y.[Yang], Xia, L.G.[Lie-Gang], Wang, H.Y.[Hao-Yu], Li, S.[Shuo], Jiao, S.H.[Shu-Hui], Lei, Y.T.[Ya-Ting],
Road Extraction in Mountainous Regions from High-Resolution Images Based on DSDNet and Terrain Optimization,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Shao, Z.F.[Zhen-Feng], Zhou, Z.F.[Zi-Fan], Huang, X.[Xiao], Zhang, Y.[Ya],
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Li, J.[Jing], Liu, Y.[Yong], Zhang, Y.D.[Yin-Dan], Zhang, Y.[Yang],
Cascaded Attention DenseUNet (CADUNet) for Road Extraction from Very-High-Resolution Images,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Chen, D.Y.[Ding-Yuan], Zhong, Y.F.[Yan-Fei], Zheng, Z.[Zhuo], Ma, A.L.[Ai-Long], Lu, X.Y.[Xiao-Yan],
Urban road mapping based on an end-to-end road vectorization mapping network framework,
PandRS(178), 2021, pp. 345-365.
Elsevier DOI 2108
Deep learning, Urban road vectorization mapping, Road connectivity, Node proposal, Semantic segmentation, Remote sensing imagery BibRef

Lu, X.Y.[Xiao-Yan], Zhong, Y.F.[Yan-Fei], Zheng, Z.[Zhuo], Wang, J.J.[Jun-Jue],
Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery,
PandRS(180), 2021, pp. 296-312.
Elsevier DOI 2109
Road detection, Remote sensing, Global-local, Adversarial learning framework, Cross-domain BibRef

Lu, X.Y.[Xiao-Yan], Zhong, Y.F.[Yan-Fei], Zhang, L.P.[Liang-Pei],
Open-Source Data-Driven Cross-Domain Road Detection from Very High Resolution Remote Sensing Imagery,
IP(31), 2022, pp. 6847-6862.
IEEE DOI 2212
Roads, Remote sensing, Training, Task analysis, Deep learning, Global Positioning System, Data models, Road detection, domain-specific representation BibRef

Ding, L.[Lei], Bruzzone, L.[Lorenzo],
DiResNet: Direction-Aware Residual Network for Road Extraction in VHR Remote Sensing Images,
GeoRS(59), No. 12, December 2021, pp. 10243-10254.
IEEE DOI 2112
Roads, Feature extraction, Task analysis, Convolutional neural networks, road extraction BibRef

Lian, R.[Renbao], Huang, L.Q.[Li-Qin],
Weakly Supervised Road Segmentation in High-Resolution Remote Sensing Images Using Point Annotations,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Roads, Image segmentation, Annotations, Semantics, Training, Remote sensing, Estimation, Active contour model, Gabor filter, weakly supervised segmentation BibRef

Liu, Z.W.[Zi-Wei], Wang, M.C.[Ming-Chang], Wang, F.Y.[Feng-Yan], Ji, X.[Xue],
A Residual Attention and Local Context-Aware Network for Road Extraction from High-Resolution Remote Sensing Imagery,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Feng, D.J.[De-Jun], Shen, X.Y.[Xing-Yu], Xie, Y.K.[Ya-Kun], Liu, Y.G.[Yang-Ge], Wang, J.[Jian],
Efficient Occluded Road Extraction from High-Resolution Remote Sensing Imagery,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ghandorh, H.[Hamza], Boulila, W.[Wadii], Masood, S.[Sharjeel], Koubaa, A.[Anis], Ahmed, F.[Fawad], Ahmad, J.[Jawad],
Semantic Segmentation and Edge Detection: Approach to Road Detection in Very High Resolution Satellite Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Chang, K.[Kun], Yan, L.[Li],
LLNet: A Fusion Classification Network for Lane Localization in Real-World Scenarios,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Xiao, F.H.[Fang-Hong], Tong, L.[Ling], Li, Y.X.[Yu-Xia], Luo, S.Y.[Shi-Yu], Benediktsson, J.A.[Jón Atli],
A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhou, M.T.[Ming-Ting], Sui, H.G.[Hai-Gang], Chen, S.X.[Shan-Xiong], Liu, J.Y.[Jun-Yi], Shi, W.Y.[Wei-Yue], Chen, X.[Xu],
Large-scale road extraction from high-resolution remote sensing images based on a weakly-supervised structural and orientational consistency constraint network,
PandRS(193), 2022, pp. 234-251.
Elsevier DOI 2210
Large-scale road extraction, Weakly supervised learning, Scribble supervision, Structural consistency learning, Feature aggregation BibRef

Chen, S.F.[Sai-Fei], Wu, N.Q.[Nai-Qi], Fu, H.[Hui], Wang, Y.F.[Ye-Fei], Qiao, Y.[Yan],
Urban Road Network Partitioning Based on Bi-Modal Traffic Flows With Multiobjective Optimization,
ITS(23), No. 11, November 2022, pp. 20664-20680.
IEEE DOI 2212
Partitioning algorithms, Roads, Merging, Clustering algorithms, Hysteresis, Optimization, Genetic algorithms, Network partitioning, bi-modal macroscopic fundamental diagram BibRef

Wu, P.[Pengda], Yin, Y.[Yong], Wu, C.Q.[Chuang-Qi], Bai, X.F.[Xiao-Fei], Zhang, C.X.[Chun-Xiao], Dai, Z.X.[Zhao-Xin],
An Automatic Generalization Method for a Dense Road Network Area Considering Spatial Structural Features as Constraints,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Lin, S.F.[Shao-Fu], Yao, X.[Xin], Liu, X.L.[Xi-Liang], Wang, S.H.[Shao-Hua], Chen, H.M.[Hua-Min], Ding, L.[Lei], Zhang, J.[Jing], Chen, G.H.[Gui-Hong], Mei, Q.[Qiang],
MS-AGAN: Road Extraction via Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds,
RS(15), No. 13, 2023, pp. 3367.
DOI Link 2307
BibRef

Jing, Y.S.[Ying-Shan], Zhang, T.[Ting], Liu, Z.Y.[Zhao-Ying], Hou, Y.W.[Yue-Wu], Sun, C.M.[Chang-Ming],
Swin-ResUNet+: An edge enhancement module for road extraction from remote sensing images,
CVIU(237), 2023, pp. 103807.
Elsevier DOI 2311
Semantic segmentation, Remote sensing image, Road extraction, UNet, Swin-Transformer structure, Edge enhancement module BibRef

Wang, X.H.[Xing-Han], Liu, Q.[Qi], Jia, P.F.[Peng-Fei], Huang, X.F.[Xi-Feng], Yang, J.H.[Jian-Hua], Mao, Z.J.[Zheng-Jun], Shen, S.[Shengyu],
Highway Ecological Environmental Assessment Based on Modified Remote Sensing Index: Taking the Lhasa-Nyingchi Motorway as an Example,
RS(16), No. 2, 2024, pp. 265.
DOI Link 2402
BibRef


He, S.T.[Song-Tao], Balakrishnan, H.[Hari],
Lane-Level Street Map Extraction from Aerial Imagery,
WACV22(1496-1505)
IEEE DOI 2202
Pipelines, Urban areas, Turning, Remote Sensing Deep Learning, Segmentation, Grouping and Shape BibRef

Zhou, L.C.[Li-Chen], Zhang, C.[Chuang], Wu, M.[Ming],
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction,
DeepGlobe18(192-1924)
IEEE DOI 1812
Roads, Convolution, Task analysis, Image segmentation, Semantics, Image resolution, Satellites BibRef

Sghaier, M.O.[Moslem Ouled], Hammami, I.[Imen], Foucher, S.[Samuel], Lepage, R.[Richard],
Stroke Width Transform for Linear Structure Detection: Application to River and Road Extraction from High-Resolution Satellite Images,
ICIAR17(605-613).
Springer DOI 1706
BibRef

Maboudi, M., Amini, J., Hahn, M.,
Objects Grouping For Segmentation Of Roads Network In High Resolution Images Of Urban Areas,
ISPRS16(B7: 897-902).
DOI Link 1610
BibRef

Özkaya, M.,
Road Extraction From High Resolution Satellite Images,
ISPRS12(XXXIX-B4:143-148).
DOI Link 1209
BibRef

Peng, B.[Bo], Xu, A.G.[Ai-Gong], Li, H.T.[Hai-Tao], Han, Y.S.[Yan-Shun],
Road Extraction Based on Object-Oriented from High-Resolution Remote Sensing Images,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Mnih, V.[Volodymyr], Hinton, G.E.[Geoffrey E.],
Learning to Detect Roads in High-Resolution Aerial Images,
ECCV10(VI: 210-223).
Springer DOI 0109
BibRef

Xu, C.[Chuan], Feng, Y.Y.[Yuan-Yuan], Du, J.[Juan],
A New Urban Road Detection Method In High-resolution Images Based on Bayesian Network,
VCGVA09(xx-yy). 0910
High Resolution Image; Road Detection; Bayesian Network; GIS Guidance BibRef

Naouai, M.[Mohamed], Hamouda, A.[Atef], Akkari, A.[Aroua], Weber, C.[Christiane],
New Approach for Road Extraction from High Resolution Remotely Sensed Images Using the Quaternionic Wavelet,
IbPRIA11(452-459).
Springer DOI 1106
BibRef
Earlier: A1, A2, A4, Only:
Urban Road Extraction from High-Resolution Optical Satellite Images,
ICIAR10(II: 420-433).
Springer DOI 1006
BibRef

Ahmadi, F.F.[F. Farnood], Valadan Zoej, M.J., Ebadi, H., Mokhtarzade, M.,
Application of Neural Networks, Image Processing and CAD-Based Environments Facilities in Automatic Road Extraction and Vectorization from High Resolution Satellite Images,
ISPRS08(B3b: 585 ff).
PDF File. 0807

See also Automatic Building Extraction from High Resolution Satellite Images Using Active Contour Mode. BibRef

Mokhtarzade, M., Valadan Zoej, M.J., Ebadi, H.,
Automatic Road Extraction from High Resolution Satellite Images Using Neural Networks, Texture Analysis, Fuzzy Clustering and Genetic Algorithms,
ISPRS08(B3b: 549 ff).
PDF File. 0807
BibRef

Jin, H.[Hang], Feng, Y.M.[Yan-Ming], Li, Z.R.[Zheng-Rong],
Extraction of Road Lanes from High-Resolution Stereo Aerial Imagery Based on Maximum Likelihood Segmentation and Texture Enhancement,
DICTA09(271-276).
IEEE DOI 0912
BibRef

Jin, H.[Hang], Feng, Y.M.[Yan-Ming], Li, B.F.[Bo-Feng],
Road network extraction with new vectorization and pruning from high-resolution RS images,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Ni, C.[Cui], Ye, Q.[Qin], Li, B.F.[Bo-Feng], Zhang, S.M.[Shao-Ming],
Road Extraction from High-Resolution Remote Sensing Image Based on Phase Classification,
ISPRS08(B3b: 509 ff).
PDF File. 0807
BibRef

Ma, H.B.[Hong-Bin], Zhao, Y.H.[Ya-Hong], He, Q.[Qun],
Road Extraction from High Resolution Remote Sensing Image Based on Mathematics Morphology and Seed Growth,
ISPRS08(B3b: 523 ff).
PDF File. 0807
BibRef

Hosomura, T.[Tsukasa],
Road Extraction from High Resolution Satellite Image by Using Circle Area,
ISPRS08(B3b: 505 ff).
PDF File. 0807
BibRef

Zhang, H.T.[Hai-Tao], Xiao, Z.[Zhou], Zhou, Q.[Qing],
Research on Road Extraction Semi-Automatically from High-Resolution Remote Sensing Image,
ISPRS08(B3b: 535 ff).
PDF File. 0807
BibRef

Lin, X.G., Zhang, J.X., Liu, Z.J., Shen, J.,
Semi-Automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by Cooperation of Angular Texture Signature and Template Matching,
ISPRS08(B3b: 539 ff).
PDF File. 0807
BibRef

Grote, A.[Anne], Rottensteiner, F.[Franz],
Automatic road network extraction in suburban areas from high resolution aerial images,
PCVIA10(A:299).
PDF File. 1009
BibRef

Christophe, E.[Emmanuel], Inglada, J.[Jordi],
Robust Road Extraction for High Resolution Satellite Images,
ICIP07(V: 437-440).
IEEE DOI 0709
BibRef

Ricny, J.,
A-priori information driven model for road segmentation in high resolution images,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Wang, Y.Q.[Yan-Qing], Tian, Y.[Yuan], Tai, X.Q.[Xian-Qing], Shu, L.X.[Li-Xia],
Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning,
ACCV06(I:236-245).
Springer DOI 0601
BibRef

Xiao, Y.G.[Yong-Guan], Tan, T.S.[Tiow-Seng], Tay, S.C.[Seng-Chuan],
Utilizing Edge to Extract Roads in High-Resolution Satellite Imagery,
ICIP05(I: 637-640).
IEEE DOI 0512
BibRef

Malpica, J.A.[José A.],
Splines Interpolation in High Resolution Satellite Imagery,
ISVC05(562-570).
Springer DOI 0512
BibRef

Peteri, R., Celle, J., Ranchin, T.,
Detection and extraction of road networks from high resolution satellite mages,
ICIP03(I: 301-304).
IEEE DOI 0312
BibRef

Zhao, H.J.[Hui-Jing], Kumagai, J.[Jun], Nakagawa, M.[Masafumi], Shibasaki, R.[Ryosuke],
Semi-automatic Road Extraction from High-Resolution Satellite Image,
PCV02(A: 406). 0305
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Bridge Detection and Extraction Systems .


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