23.1.1 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.,
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Ascona97(257-266). Generalized antiparallel pair. Group along curves. Recognize as a road. High resolution roads. BibRef 9700

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Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery,
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Elsevier DOI Road extraction; Image segmentation; Shape descriptor; Texture 0605
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An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery,
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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,
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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
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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
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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

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.[Ailong], 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


Behrendt, K., Soussan, R.,
Unsupervised Labeled Lane Markers Using Maps,
CVRSUAD19(832-839)
IEEE DOI 2004
Code, Lane Detection.
WWW Link. image segmentation, optimisation, regression analysis, unsupervised learning, high-quality lane marker datasets, dataset 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

Li, P.L.[Peng-Long], Hu, X.Y.[Xiang-Yun], Hu, Y.[Yan], Ding, Y.[Yi], Wang, L.[Lan], Li, L.[Li],
A Detection Method of Artificial Area From High Resolution Remote Sensing Images Based On Multi Scale And Multi Feature Fusion,
Hannover17(387-392).
DOI Link 1805
Straight lines. Large areas (urban area) and single house in countryside. BibRef

Lv, Y.[Ye], Wang, G.F.[Guo-Feng], Hu, X.Y.[Xiang-Yun],
Machine Learning Based Road Detection from High Resolution Imagery,
ISPRS16(B3: 891-898).
DOI Link 1610
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
Road Detection from Vehicle Tracking, GPS, etc. .


Last update:Sep 12, 2021 at 22:38:33