24 Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR

24.1 Road Network Detection, Road Extraction Systems

Groch, W.D.[Wolf-Dieter],
Extraction of Line Shaped Objects from Aerial Images Using a Special Operator to Analyze the Profiles of Functions,
CGIP(18), No. 4, April 1982, pp. 347-358.
Elsevier DOI BibRef 8204

Meisels, A.[Amnon], Mintz, D.[Doron],
Symbolic Reasoning in Object Extraction,
CVGIP(52), No. 3, December 1990, pp. 447-459.
Elsevier DOI Building and road extraction techniques. Heavily model driven. BibRef 9012

Meisels, A., Bergman, S.,
Finding Objects in Aerial Photographs: A Rule-Based Low Level System,
CVPR88(118-122).
IEEE Abstract. BibRef 8800

Bajcsy, R.K., and Tavakoli, M.,
Computer Recognition of Roads from Satellite Pictures,
SMC(6), No. 9, September 1976, pp. 623-637. BibRef 7609
Earlier: ICPR74(190-194). Recognize Roads. Find roads and bridges in Landsat images using special features of these objects. BibRef

Tavakoli, M.,
Toward the Recognition of Cultural Features,
DARPA80(33-57). Antiparallel lines, rectangular corners. BibRef 8000

Lipari, C., Trivedi, M.M., and Harlow, C.A.,
Geometric Modeling and Recognition of Elongated Regions in Aerial Images,
SMC(19), No. 6, November/December 1989, pp. 1600-1612. BibRef 8911
Earlier:
Representation and Recognition of Elongated Regions in Aerial Images,
SPIE(937), April 1988, pp. 557-567. Recognize Roads. Long curved regions (roads) are extracted from local features (edges). Link individual samples using MST. BibRef

Parui, S.K., Uma Shankar, B., Mukherjee, A., Dutta Majumder, D.,
A Parallel Algorithm for Detection of Linear Structures in Satellite Images,
PRL(12), 1991, pp. 765-770. BibRef 9100

Chaudhuri, B., Mukherjee, A., Parui, S., Chaudhuri, B.B., Krishnan, R.,
An Efficient Algorithm for Detection of Road-Like Structures in Satellite Images,
ICPR96(III: 875-879).
IEEE DOI 9608
(Indian Statistical Institute, IND) BibRef

Mukherjee, A., Parui, S.K., Chaudhuri, B.B., Krishnan, R., Rao, K.K.,
Detection of Linear Features in Satellite Imagery Using Robust Estimation,
ICPR94(A:514-516).
IEEE DOI BibRef 9400

Zhu, Z., Kim, Y.,
Algorithm for Automatic Road Recognition on Digitized Map Images,
OptEng(28), No. 9, 1989. BibRef 8900

Gruen, A., Li, H.H.,
Road Extraction from Aerial and Satellite Images by Dynamic-Programming,
PandRS(50), No. 4, August 1995, pp. 11-20. Dynamic Programming. Interactive, dynamic programming based approach. BibRef 9508

Gruen, A., Li, H.H.,
Semiautomatic Linear Feature-Extraction by Dynamic-Programming and LSB-Snakes,
PhEngRS(63), No. 8, August 1997, pp. 985-995. Snakes. 9708
BibRef

Gruen, A., Li, H.H.[Hai-Hong],
Linear Feature Extraction with 3-D LSB-Snakes,
Ascona97(287-298). Fit least-Squared B-Spline snakes to rough seed points. Dynamic programming approach. BibRef 9700

Trinder, J.C., and Li, H.,
Semi-Automatic Feature Extraction by Snakes,
Ascona95(95-104). BibRef 9500

Gruen, A., Agouris, P., and Li, H.H.,
Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching,
Ascona95(83-94). Extraction of road newtworks. BibRef 9500

van Cleynenbreugel, J., Osinga, S.A., Fierens, F., Suetens, P., Oosterlinck, A.,
Road Extraction from Multi-Temporal Satellite Images by an Evidential Reasoning Approach,
PRL(12), 1991, pp. 371-380. BibRef 9100

Visvalingam, M., Varley, D., Wright, C.,
A Cognitive Approach to Road Recognition with Novel Feature Indicators,
Computer Journal(39), No. 9, 1996, pp. 751-756. 9709
BibRef

Mayer, H., Baumgartner, A., Steger, C.T.,
CVonline: Road Extraction from Aerial Imagery,
CV-Online1998.
WWW Link. Survey, Roads. Survey of road extraction work. BibRef 9800

Baumgartner, A.[Albert], Steger, C.T.[Carsten T.], Mayer, H.[Helmut], Eckstein, W.[Wolfgang], Ebner, H.[Heinrich],
Automatic Road Extraction Based on Multi-Scale, Grouping, and Context,
PhEngRS(65), No. 7, July 1999, pp. 777. BibRef 9907
And:
Automatic Road Extraction in Rural Areas,
ISPRSGIS99(107-112). Use explicit knowledge about roads, and local context. Rural roads, but does find junctions. Find edges. Group into antiparallels, connect, find intersections. BibRef

Baumgartner, A., Eckstein, W., Mayer, H.[Helmut], Heipke, C., Ebner, H.,
Context-Supported Road Extraction,
Ascona97(299-308). Knowledge of relation of roads to other objects. Global and local guidance. BibRef 9700

Mayer, H.[Helmut], Laptev, I.[Ivan], Baumgartner, A.[Albert], Steger, C.T.[Carsten T.],
Automatic Road Extraction Based on Multi-Scale Modeling, Context, and Snakes,
IAPRS(XXXII), Part 3-2W3, 1997, pp. 106-113 Snakes. Abstract:
HTML Version. And
PS File. BibRef 9700

Mayer, H., Laptev, I., Baumgartner, A.,
Multi-Scale and Snakes for Automatic Road Extraction,
ECCV98(I: 720).
Springer DOI BibRef 9800

Hinz, S.[Stefan], Baumgartner, A.[Albert],
Automatic extraction of urban road networks from multi-view aerial imagery,
PandRS(58), No. 1, June 2003, pp. 83-98.
Elsevier DOI 0307

PDF File. BibRef
Earlier:
Urban Road Net Extraction Integrating Internal Evaluation Models,
PCV02(A: 163).
WWW Link. BibRef

Baumgartner, A.[Albert], Hinz, S.[Stefan], Wiedemann, C.[Christian],
Efficient Methods and Interfaces for Road Tracking,
PCV02(B: 28). 0305
BibRef

Wessel, B., Wiedemann, C.,
Analysis of Automatic Road Extraction Results from Airborne SAR Imagery,
PIA05(xx-yy).
PDF File. 0509
BibRef

Wiedemann, C.[Christian],
External Evaluation of Road Networks,
PIA05(xx-yy).
PDF File. 0509
BibRef

Wiedemann, C.[Christian], Hinz, S.[Stefan],
Automatic Extraction and Evaluation of Road Networks from Satellite Imagery,
ISPRSGIS99(95-100). Evaluation with Completeness and correctness. BibRef 9900

Hinz, S., Baumgartner, A., Mayer, H., Wiedemann, C., Ebner, H.,
Road Extraction Focussing on Urban Areas,
Ascona01(255-265). Use road models that include markings and network characteristics. Use image and DSM. 0201
BibRef

Laptev, I., Mayer, H., Lindeberg, T., Eckstein, W., Steger, C.T.[Carsten T.], Baumgartner, A.,
Automatic Extraction of Roads from Aerial Images Based on Scale Space and Snakes,
MVA(12), No. 1, 2000, pp. 23-31.
Springer DOI 0008
BibRef

Baumgartner, A.[Albert], Steger, C.T.[Carsten T.], Wiedemann, C.[Christian], Mayer, H.[Helmut], Eckstein, W.[Wolfgang], Ebner, H.[Heinrich],
Update of Roads in GIS from Aerial Imagery: Verification and Multi-Resolution Extraction,
IAPRS(XXXI), Part B3, 1996, pp. 53-58.
HTML Version. BibRef 9600

Baumgartner, A.[Albert], Steger, C.T.[Carsten T.], Mayer, H.[Helmut], Eckstein, W.[Wolfgang],
Multi-Resolution, Semantic Objects, and Context for Road Extraction,
TopoInfo97(140-156). BibRef 9700
Earlier:
Semantic Objects and Context for Finding Roads,
SPIE(3072), April 1997, pp. 98-109. Abstract:
HTML Version.
PS File. Uses Global and Local context for finding the roads. BibRef

Hedman, K.[Karin], Hinz, S.[Stefan], Stilla, U.[Uwe],
A Probabilistic Fusion Strategy Applied to Road Extraction from Multi-Aspect SAR Data,
PCV06(xx-yy).
PDF File. 0609
BibRef

Hedman, K., Wessel, B., Stilla, U.,
A Fusion Strategy for Extracted Road Networks from Multi-Aspect SAR Images,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Hinz, S.[Stefan], Wiedemann, C.[Christian], Baumgartner, A.[Albert],
A Scheme for Road Extraction in Rural Areas and its Evaluation,
WACV00(134-139).
IEEE DOI
WWW Link. 0010
BibRef

Ziems, M., Gerke, M.[Markus], Heipke, C.[Christian],
Automatic Road Extraction from Remote Sensing Imagery Incorporating Prior Information and Colour Segmentation,
PIA07(141).
PDF File. 0711
BibRef

Mayer, H.[Helmut], Hinz, S.[Stefan], Bacher, U.[Uwe], Baltsavias, E.[Emmanuel],
A Test of Automatic Road Extraction Approaches,
PCV06(xx-yy).
PDF File. 0609
BibRef

Steger, C.T.[Carsten T.], Glock, C., Eckstein, W., Mayer, H.[Helmut], and Radig, B.,
Model-Based Road Extraction from Images,
Ascona95(275-284). High resolution roads.
HTML Version.
See also Unbiased Detector of Curvilinear Structures, An. BibRef 9500

Bacher, U., Mayer, H.,
Automatic Road Extraction from Multispectral High Resolution Satellite Images,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Heipke, C.[Christian], Steger, C.T.[Carsten T.], Multhammer, R.[Ralph],
A Hierarchical Approach to Automatic Road Extraction from Aerial Imagery,
SPIE(2486), 1995, pp. 222-231.
HTML Version. BibRef 9500

Steger, C.T.[Carsten T.], Mayer, H.[Helmut], Radig, B.[Bernd],
The Role of Grouping for Road Extraction,
Ascona97(245-256). Grouping to fill in gaps in the detected low resolution roads. Global context. Local context is markings. Abstract:
HTML Version. Paper:
PS File. BibRef 9700

Steger, C.T.[Carsten T.],
Extracting Curvilinear Structures: A Differential Geometric Approach,
ECCV96(I:630-641).
Springer DOI BibRef 9600
And:
Extraction of Curved Lines from Images,
ICPR96(II: 251-255).
IEEE DOI 9608
(Techn. Univ. München, D)
HTML Version. BibRef
And:
Extracting Lines Using Differential Geometry and Gaussian Smoothing,
IAPRS(XXXI), Part B3, 1996, pp. 821-826.
HTML Version. Road extraction. Get the lines and their junctions. BibRef

Mayer, H.[Helmut], Steger, C.T.[Carsten T.],
Scale-Space Events and Their Link to Abstraction for Road Extraction,
PandRS(53), No. 2, April 1998, pp. 62-75. 9805
BibRef
Earlier:
A New Approach for Line Extraction and its Integration in a Multi-Scale, Multi-Abstraction-Level Road Extraction System,
IAPR TC-7 WorkshopSeptember 1996, pp. 331-348. Mapping Buildings, Roads, and Other Man-Made Structures from Images, Oldenbourg, Vienna, Austria. Abstract:
HTML Version. And:
PS File. Extract coarse roads in a smoothed image, then look at detailed images. BibRef

Tao, C., Li, R.X., Chapman, M.A.,
Automatic Reconstruction of Road Centerlines from Mobile Mapping Image Sequences,
PhEngRS(64), No. 7, July 1998, pp. 709-716. 9807
BibRef

Couloigner, I.[Isabelle], Ranchin, T., Valtonen, V.P., Wald, L.,
Benefit of the Future SPOT-5 and of Data Fusion to Urban Roads Mapping,
JRS(19), No. 8, May 20 1998, pp. 1519-1532. 9807
BibRef

Couloigner, I.[Isabelle], Zhang, Q.P.[Qiao-Ping],
Iterative and Localized Radon Transform for Road Centerline Detection from Classified Imagery,
ICIAR07(1093-1104).
Springer DOI 0708
BibRef
Earlier: A2, A1:
Comparing Different Localization Approaches of the Radon Transform for Road Centerline Extraction from Classified Satellite Imagery,
ICPR06(II: 138-141).
IEEE DOI 0609
BibRef

Guiducci, A.[Antonio],
3D Road Reconstruction from a Single View,
CVIU(70), No. 2, May 1998, pp. 212-226.
DOI Link BibRef 9805

Magli, E., Olmo, G., Lo Presti, L.,
On-Board Selection of Relevant Images: An Application to Linear Feature Recognition,
IP(10), No. 4, April 2001, pp. 543-553.
IEEE DOI 0104
BibRef

Katartzis, A., Sahli, H., Pizurica, V., Cornelis, J.,
A model-based approach to the automatic extraction of linear features from airborne images,
GeoRS(39), No. 9, September 2001, pp. 2073-2079.
IEEE Top Reference. 0111
BibRef

Dial, G., Gibson, L., Poulsen, R.,
IKONOS Satellite Imagery and Its Use in Automated Road Extraction,
Ascona01(357-367). Texture in elongated regions in many directions along road. 0201
BibRef

Wallace, S.J., Hatcher, M.J., Priestnall, G., Morton, R.D.,
Research into a Framework for Automatic Linear Feature Identification and Extraction,
Ascona01(381-390). Road detection. 0201
BibRef

Habib, A.F.[Ayman F.], Lee, Y.R.[Young-Ran], Morgan, M.F.[Michel F.],
Automatic Matching and Three-Dimensional Reconstruction of Free-Form Linear Features from Stereo Images,
PhEngRS(69), No. 2, February 2003, pp. 189-197. The Modified Iterated Hough Transform (MIHT) to automatically solve for the relative orientation parameters and the correspondence between conjugate entities in a stereo pair is introduced.
WWW Link. 0304
BibRef

Lee, Y.R.[Young-Ran], Habib, A.[Ayman],
Pose Estimation of Line Cameras Using Linear Features,
PCV02(B: 146). 0305
BibRef

Habib, A.F.[Ayman F.], Shin, S.W.[Sung W.], Morgan, M.F.[Michel F.],
Automatic Pose Estimation of Imagery Using Free-Form Control Linear Features,
PCV02(A: 150). 0305
BibRef

Jiang, B., Claramunt, C.,
A Structural Approach to the Model Generalization of an Urban Street Network,
GeoInfo(8), No. 2, June 2004, pp. 157-171.
DOI Link 0403
BibRef

Pless, R.[Robert],
Detecting Roads in Stabilized Video with the Spatio-Temporal Structure Tensor,
GeoInfo(9), No. 1, March 2006, pp. 37-53.
Springer DOI 0605

See also Spatio-temporal Background Models for Outdoor Surveillance. BibRef

Georg, M.[Manfred], Pless, R.[Robert],
Fitting parametric road models to spatio-temporal derivatives,
MLMotion09(421-427).
IEEE DOI 0910
BibRef

Niu, X.T.[Xu-Tong],
A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model,
PandRS(61), No. 3-4, December 2006, pp. 170-186.
Elsevier DOI 0703
Semi-automation; Road extraction; Vehicle detection; Aerial photography BibRef

Brilingaite, A.[Agne], Jensen, C.S.[Christian S.],
Enabling Routes of Road Network Constrained Movements as Mobile Service Context,
GeoInfo(11), No. 1, March 2007, pp. 55-102.
Springer DOI 0704
BibRef

Ariza-Lopez, F.J.[Francisco Javier], Garcia-Balboa, J.L.[Jose Luis],
Generalization-oriented road line segmentation by means of an artificial neural network applied over a moving window,
PR(41), No. 5, May 2008, pp. 1610-1626.
Elsevier DOI 0711
Artificial neural network; Cartographic generalization; Knowledge acquisition; Line segmentation; Machine learning BibRef

García-Balboa, J.L.[José Luis], Ariza-López, F.J.[Francisco Javier],
Generalization-oriented Road Line Classification by Means of an Artificial Neural Network,
GeoInfo(12), No. 3, September 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Garcia-Balboa, J.L.[Jose Luis], Ariza-Lopez, F.J.[Francisco Javier],
Sinuosity pattern recognition of road features for segmentation purposes in cartographic generalization,
PR(42), No. 9, September 2009, pp. 2150-2159.
Elsevier DOI 0905
Cartographic generalization; Douglas-Peucker algorithm; Effective-area; Line segmentation; Visvalingam-Whyatt algorithm BibRef

Haunert, J.H.[Jan-Henrik], Sester, M.[Monika],
Area Collapse and Road Centerlines based on Straight Skeletons,
GeoInfo(12), No. 2, June 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Sun, J.[Jing], Baciu, G.[George], Yu, X.B.[Xiao-Bo], Green, M.[Mark],
Image-based Template Generation Of Road Networks For Virtual Maps,
IJIG(4), No. 4, October 2004, pp. 701-720. 0410
BibRef

Zhang, Z.X.[Zu-Xun], Zhang, J.Q.[Jian-Qing], Zhang, Y.J.[Yong-Jun], Zhang, H.W.[Hong-Wei],
Photogrammetric Modeling of Linear Features with Generalized Point Photogrammetry,
PhEngRS(74), No. 9, September 2008, pp. 1119-1128.
WWW Link. 0804
Modeling of space linear features without knowing the exact conjugacy between Image features and/or the correspondence between space and image features. BibRef

Porikli, F.M.[Fatih M.], Shao, J.[Jie],
Detecting roads in aerial images using feature-based classifiers,
US_Patent7,359,555, Apr 15, 2008
WWW Link. Low level, to mid level to high level. BibRef 0804

Poullis, C.[Charalambos], You, S.[Suya],
Delineation and geometric modeling of road networks,
PandRS(65), No. 2, March 2010, pp. 165-181.
Elsevier DOI 1003
Road extraction; Network delineation; Road detection; Road modeling BibRef

Poullis, C.[Charalambos], You, S.[Suya], Neumann, U.[Ulrich],
A Vision-Based System For Automatic Detection and Extraction Of Road Networks,
WACV08(1-8).
IEEE DOI 0801

See also Approaches to Large-Scale Urban Modeling. BibRef

Poullis, C.[Charalambos],
Tensor-Cuts: A simultaneous multi-type feature extractor and classifier and its application to road extraction from satellite images,
PandRS(95), No. 1, 2014, pp. 93-108.
Elsevier DOI 1408
Feature extraction BibRef

Movaghati, S., Moghaddamjoo, A., Tavakoli, A.,
Road Extraction From Satellite Images Using Particle Filtering and Extended Kalman Filtering,
GeoRS(48), No. 7, July 2010, pp. 2807-2817.
IEEE DOI 1007
BibRef

Gilles, J., Meyer, Y.,
Properties of BV-G Structures + Textures Decomposition Models. Application to Road Detection in Satellite Images,
IP(19), No. 11, November 2010, pp. 2793-2800.
IEEE DOI 1011
BibRef

Das, S., Mirnalinee, T.T., Varghese, K.,
Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images,
GeoRS(49), No. 10, October 2011, pp. 3906-3931.
IEEE DOI 1110
BibRef

Ariza-López, F.J., Mozas-Calvache, A.T., Ureña-Cámara, M.A., Alba-Fernández, V., García-Balboa, J.L., Rodríguez-Avi, J., Ruiz-Lendínez, J.J.,
Influence of sample size on line-based positional assessment methods for road data,
PandRS(66), No. 5, September 2011, pp. 708-719.
Elsevier DOI 1110
Accuracy; Quality; Sampling; Simulation; Spatial BibRef

García-Balboa, J.L.[José L.], Alba-Fernández, M.V.[María V.], Ariza-López, F.J.[Francisco J.], Rodríguez-Avi, J.[José],
Analysis of Thematic Similarity Using Confusion Matrices,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Rodríguez-Avi, J.[José], Ariza-López, F.J.[Francisco Javier],
Finite Mixture Models in the Evaluation of Positional Accuracy of Geospatial Data,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ariza-López, F.J.[Francisco Javier], Mozas-Calvache, A.T.[Antonio Tomás],
Comparison of four line-based positional assessment methods by means of synthetic data,
GeoInfo(16), No. 2, April 2012, pp. 221-243.
WWW Link. 1202
BibRef

Yuan, J.Y.[Jiang-Ye], Wang, D.L.[De-Liang], Wu, B.[Bo], Yan, L.[Lin], Li, R.X.[Rong-Xing],
LEGION-Based Automatic Road Extraction From Satellite Imagery,
GeoRS(49), No. 11, November 2011, pp. 4528-4538.
IEEE DOI 1112
BibRef

Ok, A.Ö.[Ali Özgün], Wegner, J.D.[Jan Dirk], Heipke, C.[Christian], Rottensteiner, F.[Franz], Sörgel, U.[Uwe], Toprak, V.[Vedat],
Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images,
PFG(2012), No. 4, 2012, pp. 345-358.
WWW Link. 1211
BibRef
Earlier:
Accurate Matching and Reconstruction of Line Features from Ultra High Resolution Stereo Aerial Images,
HighRes11(xx-yy).
PDF File. 1106

See also Extraction of Road Junction Islands from High Resolution Aerial Imagery Using Level Sets. BibRef

Ok, A.Ö.[Ali Özgün], Wegner, J.D.[Jan Dirk], Heipke, C.[Christian], Rottensteiner, F.[Franz], Soergel, U.[Uwe], Toprak, V.[Vedat],
In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets,
PIA11(61-72).
Springer DOI 1110
BibRef
Earlier:
A New Straight Line Reconstruction Methodology From Multi-Spectral Stereo Aerial Images,
PCVIA10(A:25).
PDF File. 1009
BibRef

Shi, W., Miao, Z., Debayle, J.,
An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery,
GeoRS(52), No. 6, June 2014, pp. 3359-3372.
IEEE DOI 1403
Accuracy BibRef

Suppan, F.[Franz], Frey-Roos, F.[Fredy],
Generating Resistance Surfaces for Wildlife Corridor Extraction,
PFG(2014), No. 5, 2014, pp. 435-450.
DOI Link 1411
BibRef

Leninisha, S.[Shanmugam], Vani, K.[Kaliaperumal],
Water flow based geometric active deformable model for road network,
PandRS(102), No. 1, 2015, pp. 140-147.
Elsevier DOI 1503
Geometric active deformable model BibRef

Nikfar, M.[Maryam], Zoej, M.J.V.[Mohammad Javad Valadan], Mokhtarzade, M.[Mehdi], Shoorehdeli, M.A.[Mahdi Aliyari],
Designing a New Framework Using Type-2 FLS and Cooperative-Competitive Genetic Algorithms for Road Detection from IKONOS Satellite Imagery,
RS(7), No. 7, 2015, pp. 8271.
DOI Link 1506
BibRef

Wegner, J.D.[Jan Dirk], Montoya-Zegarra, J.A.[Javier Alexander], Schindler, K.[Konrad],
Road networks as collections of minimum cost paths,
PandRS(108), No. 1, 2015, pp. 128-137.
Elsevier DOI 1511
Aerial BibRef

Montoya-Zegarra, J.A.[Javier A.], Wegner, J.D.[Jan D.], Ladický, L.[Lubor], Schindler, K.[Konrad],
Mind the Gap: Modeling Local and Global Context in (Road) Networks,
GCPR14(212-223).
Springer DOI 1411
BibRef

Zang, Y., Wang, C., Cao, L., Yu, Y., Li, J.,
Road Network Extraction via Aperiodic Directional Structure Measurement,
GeoRS(54), No. 6, June 2016, pp. 3322-3335.
IEEE DOI 1606
geophysical image processing BibRef

Šuba, R.[Radan], Meijers, M.[Martijn], van Oosterom, P.[Peter],
Continuous Road Network Generalization throughout All Scales,
IJGI(5), No. 8, 2016, pp. 145.
DOI Link 1609
BibRef

Qiu, J.[Jia], Wang, R.S.[Rui-Sheng],
Road Map Inference: A Segmentation and Grouping Framework,
IJGI(5), No. 8, 2016, pp. 130.
DOI Link 1609
BibRef

Courtrai, L.[Luc], Lefèvre, S.[Sébastien],
Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery,
PRL(83, Part 2), No. 1, 2016, pp. 195-204.
Elsevier DOI 1609
Mathematical morphology BibRef

Zang, Y., Wang, C., Yu, Y., Luo, L., Yang, K., Li, J.,
Joint Enhancing Filtering for Road Network Extraction,
GeoRS(55), No. 3, March 2017, pp. 1511-1525.
IEEE DOI 1703
Adaptive systems BibRef

Liu, W.F.[Wei-Feng], Zhang, Z.Q.[Zhen-Qing], Li, S.Y.[Shu-Ying], Tao, D.P.[Da-Peng],
Road Detection by Using a Generalized Hough Transform,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zheng, P.[Peibei], Tao, H.[Hong], Yue, S.S.[Song-Shan], Wu, M.G.[Ming-Guang], Lv, G.N.[Guo-Nian], Zhou, C.L.[Chuan-Long],
A Representation Method for Complex Road Networks in Virtual Geographic Environments,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Nevalainen, P.[Paavo], Salmivaara, A.[Aura], Ala-Ilomäki, J.[Jari], Launiainen, S.[Samuli], Hiedanpää, J.[Juuso], Finér, L.[Leena], Pahikkala, T.[Tapio], Heikkonen, J.[Jukka],
Estimating the Rut Depth by UAV Photogrammetry,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
Analysis of the road. BibRef

Maboudi, M.[Mehdi], Amini, J.[Jalal], Malihi, S.[Shirin], Hahn, M.[Michael],
Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images,
PandRS(138), 2018, pp. 151-163.
Elsevier DOI 1804
Road extraction, Ant colony optimization, Fuzzy logic system, Object based image analysis BibRef

Cardim, G.P.[Guilherme Pina], Silva, d.A.[da_Erivaldo Antônio], Dias, M.A.[Mauricio Araújo], Bravo, I.[Ignácio], Gardel, A.[Alfredo],
Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
Evaluation, Road Detection. BibRef

Zhang, J.[Jing], Chen, L.[Lu], Wang, C.[Chao], Zhuo, L.[Li], Tian, Q.[Qi], Liang, X.[Xi],
Road Recognition From Remote Sensing Imagery Using Incremental Learning,
ITS(18), No. 11, November 2017, pp. 2993-3005.
IEEE DOI 1711
Feature extraction, Histograms, Image recognition, Image segmentation, Remote sensing, Roads, Support vector machines, Road recognition, incremental learning, remote sensing imagery, saliency, features BibRef

Chen, L.[Li], Zhu, Q.[Qing], Xie, X.[Xiao], Hu, H.[Han], Zeng, H.[Haowei],
Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

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Contour extraction, Multi-conditional GAN, Large-scale point cloud BibRef

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Roads, Task analysis, Feature extraction, Image segmentation, Deep learning, Remote sensing, Automobiles, U-Net BibRef

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IEEE DOI 1909
Neurons, Image segmentation, Roads, Mathematical model, Biomedical imaging, Dogs, Curvilinear structures, delineation, orientation map BibRef

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Roads, Feature extraction, Remote sensing, Task analysis, Deep learning, Training, Labeling, Adaptive loss function, road detection BibRef

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Xie, Y.[Yan], Miao, F.[Fang], Zhou, K.[Kai], Peng, J.[Jing],
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Kocur-Bera, K.[Katarzyna], Dawidowicz, A.[Agnieszka],
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Dashpurev, B.[Batnyambuu], Bendix, J.[Jörg], Lehnert, L.W.[Lukas W.],
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Senthilnath, J., Varia, N.[Neelanshi], Dokania, A.[Akanksha], Anand, G.[Gaotham], Benediktsson, J.A.[Jón Atli],
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Abdollahi, A.[Abolfazl], Pradhan, B.[Biswajeet], Shukla, N.[Nagesh], Chakraborty, S.[Subrata], Alamri, A.[Abdullah],
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Road detection, Fusion, Spatial propagation, Spatial transformation, Joint anisotropic diffusion BibRef

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Guo, Q.S.[Qing-Sheng], Wang, H.H.[Hui-Hui], He, J.[Jie], Zhou, C.Q.[Chuan-Qi], Liu, Y.[Yang], Xing, B.[Bin], Jia, Z.J.[Zhi-Jie], Li, M.[Meng],
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Chen, Z.Y.[Zi-Yi], Fan, W.T.[Wen-Tao], Zhong, B.N.[Bi-Neng], Li, J.[Jonathan], Du, J.X.[Ji-Xiang], Wang, C.[Cheng],
Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning,
ITS(21), No. 10, October 2020, pp. 4283-4293.
IEEE DOI 2010
Roads, Feature extraction, Remote sensing, Mixture models, Data mining, Deep learning, Image segmentation, Road extraction, deep learning BibRef

Geng, K.[Kai], Sun, X.[Xian], Yan, Z.Y.[Zhi-Yuan], Diao, W.H.[Wen-Hui], Gao, X.[Xin],
Topological Space Knowledge Distillation for Compact Road Extraction in Optical Remote Sensing Images,
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Wang, S.Y.[Shu-Yang], Mu, X.D.[Xiao-Dong], Yang, D.F.[Dong-Fang], He, H.[Hao], Zhao, P.[Peng],
Road Extraction from Remote Sensing Images Using the Inner Convolution Integrated Encoder-Decoder Network and Directional Conditional Random Fields,
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Alshaikhli, T.[Tamara], Liu, W.[Wen], Maruyama, Y.[Yoshihisa],
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Gu, Y.[Yang], Si, B.F.[Bing-Feng], Liu, B.[Bushi],
A Novel Hierarchical Model in Ensemble Environment for Road Detection Application,
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Feng, S.L.[Shuai-Long], Liu, S.G.[Shu-Guang], Jing, L.[Lei], Zhu, Y.[Yu], Yan, W.[Wende], Jiang, B.C.[Bing-Chun], Liu, M.C.[Mao-Chou], Lu, W.Z.[Wei-Zhi], Ning, Y.[Ying], Wang, Z.[Zhao], Li, Q.Y.[Qin-Yuan], Jia, J.N.[Jing-Ni],
Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
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Dai, J.G.[Ji-Guang], Ma, R.C.[Rong-Chen], Gong, L.T.[Li-Tao], Shen, Z.[Zimo], Wu, J.L.[Jia-Lin],
A Model-Driven-to-Sample-Driven Method for Rural Road Extraction,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Lu, X.Y.[Xiao-Yan], Zhong, Y.F.[Yan-Fei], Zheng, Z.[Zhuo], Zhang, L.P.[Liang-Pei],
GAMSNet: Globally aware road detection network with multi-scale residual learning,
PandRS(175), 2021, pp. 340-352.
Elsevier DOI 2105
Road detection, Remote sensing, Global-aware, Multi-scale, Deep learning BibRef

Zhu, Q.Q.[Qi-Qi], Zhang, Y.[Yanan], Wang, L.Z.[Li-Zeng], Zhong, Y.F.[Yan-Fei], Guan, Q.F.[Qing-Feng], Lu, X.Y.[Xiao-Yan], Zhang, L.P.[Liang-Pei], Li, D.R.[De-Ren],
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery,
PandRS(175), 2021, pp. 353-365.
Elsevier DOI 2105
Road extraction, Deep learning, Global Context-aware block, FRN layer, Roads dataset BibRef

Shamsolmoali, P.[Pourya], Zareapoor, M.[Masoumeh], Zhou, H.Y.[Hui-Yu], Wang, R.[Ruili], Yang, J.[Jie],
Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks,
GeoRS(59), No. 6, June 2021, pp. 4673-4688.
IEEE DOI 2106
Roads, Image segmentation, Feature extraction, Adaptation models, Task analysis, Training, Generators, Adversarial network, road segmentation BibRef

Han, Y.[Yibo], Han, P.[Pu], Jia, M.[Manlei],
Road extraction from high resolution remote sensing image via a deep residual and pyramid pooling network,
IET-IPR(15), No. 13, 2021, pp. 3080-3093.
DOI Link 2110
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Li, P.[Panle], He, X.H.[Xiao-Hui], Qiao, M.J.[Meng-Jia], Cheng, X.J.[Xi-Jie], Li, Z.Q.[Zhi-Qiang], Luo, H.T.[Hao-Tian], Song, D.J.[Ding-Jun], Li, D.D.[Dai-Dong], Hu, S.K.[Shao-Kai], Li, R.C.[Run-Chuan], Han, P.[Pu], Qiu, F.B.[Fang-Bing], Guo, H.L.[Heng-Liang], Shang, J.D.[Jian-Dong], Tian, Z.H.[Zhi-Hui],
Robust Deep Neural Networks for Road Extraction From Remote Sensing Images,
GeoRS(59), No. 7, July 2021, pp. 6182-6197.
IEEE DOI 2106
Noise measurement, Robustness, Roads, Remote sensing, Probabilistic logic, Training, Predictive models, robustness BibRef

Li, P.[Panle], Tian, Z.H.[Zhi-Hui], He, X.H.[Xiao-Hui], Qiao, M.J.[Meng-Jia], Cheng, X.J.[Xi-Jie], Song, D.J.[Ding-Jun], Chen, M.Y.[Ming-Yang], Li, J.[Jiamian], Zhou, T.[Tao], Guo, X.Y.[Xiao-Yu], Li, Z.Q.[Zhi-Qiang], Li, D.D.[Dai-Dong], Ding, Z.[Zihao], Li, R.C.[Run-Chuan],
LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images,
IET-IPR(15), No. 13, 2021, pp. 3239-3253.
DOI Link 2110
deep convolutional neural networks, long-range context, pyramid pooling module, road extraction, strip pooling BibRef

Wang, Y.S.[Yoo-Seung], Lee, D.[Donghyuk], Heo, J.[Jiseong], Park, J.[Jihun],
One-Shot Summary Prototypical Network Toward Accurate Unpaved Road Semantic Segmentation,
SPLetters(28), 2021, pp. 1200-1204.
IEEE DOI 2106
Roads, Feature extraction, Semantics, Image segmentation, Training, Buildings, Prototypes, Semantic segmentation, convolutional neural network BibRef

Hu, A.[Anna], Chen, S.Q.[Si-Qiong], Wu, L.[Liang], Xie, Z.[Zhong], Qiu, Q.J.[Qin-Jun], Xu, Y.Y.[Yong-Yang],
WSGAN: An Improved Generative Adversarial Network for Remote Sensing Image Road Network Extraction by Weakly Supervised Processing,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Zhou, D.[Di], Tian, Y.[Yan], Chen, W.G.[Wei-Gang], Huang, G.[Gang],
Self-Supervised Saliency Estimation for Pixel Embedding in Road Detection,
SPLetters(28), 2021, pp. 1325-1329.
IEEE DOI 2107
Roads, Estimation, Task analysis, Training, Image segmentation, Indexes, Benchmark testing, Image segmentation, signal processing BibRef

Zhou, K.[Kai], Xie, Y.[Yan], Gao, Z.[Zhan], Miao, F.[Fang], Zhang, L.[Lei],
FuNet: A Novel Road Extraction Network with Fusion of Location Data and Remote Sensing Imagery,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 1806
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Gharaee, Z.[Zahra], Kowshik, S.[Shreyas], Stromann, O.[Oliver], Felsberg, M.[Michael],
Graph representation learning for road type classification,
PR(120), 2021, pp. 108174.
Elsevier DOI 2109
Road network graphs, Graph representation learning, Line graph transformation, Neighborhood aggregation, Topological neighborhood BibRef

Li, N.[Ning], Zhao, Y.Q.[Yong-Qiang], Pan, Q.[Quan], Kong, S.G.[Seong G.], Chan, J.C.W.[Jonathan Cheung-Wai],
Illumination-invariant road detection and tracking using LWIR polarization characteristics,
PandRS(180), 2021, pp. 357-369.
Elsevier DOI 2109
Road detection and tracking, Polarization characteristics, DoFP polarization imaging, LWIR BibRef

Mei, J.[Jie], Li, R.J.[Rou-Jing], Gao, W.[Wang], Cheng, M.M.[Ming-Ming],
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery,
IP(30), 2021, pp. 8540-8552.
IEEE DOI 2110
Roads, Feature extraction, Image segmentation, Satellites, Convolution, Semantics, Strips, Road extraction, satellite imagery, topological connectivity BibRef

Tan, H.[Hai], Shen, Z.[Zimo], Dai, J.[Jiguang],
Semi-Automatic Extraction of Rural Roads under the Constraint of Combined Geometric and Texture Features,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
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Zheng, J.[Jing], Gao, Z.[Ziren], Ma, J.S.[Jing-Song], Shen, J.[Jie], Zhang, K.[Kang],
Deep Graph Convolutional Networks for Accurate Automatic Road Network Selection,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
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Jia, J.X.[Jian-Xin], Sun, H.B.[Hai-Bin], Jiang, C.H.[Chang-Hui], Karila, K.[Kirsi], Karjalainen, M.[Mika], Ahokas, E.[Eero], Khoramshahi, E.[Ehsan], Hu, P.L.[Pei-Lun], Chen, C.[Chen], Xue, T.R.[Tian-Ru], Wang, T.H.[Ting-Huai], Chen, Y.W.[Yu-Wei], Hyyppä, J.[Juha],
Review on Active and Passive Remote Sensing Techniques for Road Extraction,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
Survey, Roads. BibRef

Wei, Y.[Yao], Ji, S.P.[Shun-Ping],
Scribble-Based Weakly Supervised Deep Learning for Road Surface Extraction From Remote Sensing Images,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI 2112
Roads, Proposals, Annotations, Training, Remote sensing, Image segmentation, Semantics, Remote sensing image, weakly supervised learning BibRef

Glira, P., Ölsböck, K., Kadiofsky, T., Schörghuber, M., Weichselbaum, J., Zinner, C., Fel, L.,
Photogrammetric 3D mobile mapping of rail tracks,
PandRS(183), 2022, pp. 352-362.
Elsevier DOI 2201
Photogrammetry, Mobile mapping, Least squares adjustment, Calibration, Rail mapping BibRef

Jepsen, T.S.[Tobias Skovgaard], Jensen, C.S.[Christian S.], Nielsen, T.D.[Thomas Dyhre],
Relational Fusion Networks: Graph Convolutional Networks for Road Networks,
ITS(23), No. 1, January 2022, pp. 418-429.
IEEE DOI 2201
Roads, Machine learning, Task analysis, Estimation, Aggregates, Transportation, road network, machine learning, graph convolutional networks (GCNs) BibRef

Li, S.F.[Sheng-Fu], Liao, C.[Cheng], Ding, Y.L.[Yu-Lin], Hu, H.[Han], Jia, Y.[Yang], Chen, M.[Min], Xu, B.[Bo], Ge, X.M.[Xu-Ming], Liu, T.Y.[Tian-Yang], Wu, D.[Di],
Cascaded Residual Attention Enhanced Road Extraction from Remote Sensing Images,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Li, S.[Shuo], Ding, J.Q.[Jie-Qiong], Liu, W.R.[Wei-Rong], Li, H.[Heng], Zhou, F.[Feng], Zhu, Z.F.[Zheng-Fa],
Railway Track Recognition Based on Radar Cross-Section Statistical Characterization Using mmWave Radar,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Sun, Z.Y.[Zhong-Yu], Zhou, W.P.[Wang-Ping], Ding, C.[Chen], Xia, M.[Min],
Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
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Yang, M.X.[Meng-Xing], Yuan, Y.[Yuan], Liu, G.C.[Gan-Chao],
SDUNet: Road extraction via spatial enhanced and densely connected UNet,
PR(126), 2022, pp. 108549.
Elsevier DOI 2204
Road extraction, Image segmentation, Remote sensing imagery, Spatial topology BibRef

Lyu, Z.[Zheng], Sun, Q.[Qun], Ma, J.Z.[Jing-Zhen], Xu, Q.[Qing], Li, Y.F.[Yuan-Fu], Zhang, F.[Fubing],
Road Network Generalization Method Constrained by Residential Areas,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Szmaglinski, J.[Jacek], Wilk, A.[Andrzej], Koc, W.[Wladyslaw], Karwowski, K.[Krzysztof], Chrostowski, P.[Piotr], Skibicki, J.[Jacek], Grulkowski, S.[Slawomir], Judek, S.[Slawomir], Licow, R.[Roksana], Makowska-Jarosik, K.[Karolina], Michna, M.[Michal], Widerski, T.[Tadeusz],
Verification of Satellite Railway Track Position Measurements Making Use of Standard Coordinate Determination Techniques,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Wu, Z.Y.[Zi-Yun], Zhang, J.M.[Jin-Ming], Zhang, L.L.[Li-Li], Liu, X.F.[Xiong-Fei], Qiao, H.L.[Hai-Lang],
Bi-HRNet: A Road Extraction Framework from Satellite Imagery Based on Node Heatmap and Bidirectional Connectivity,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Shao, S.W.[Shi-Wei], Xiao, L.X.[Li-Xia], Lin, L.P.[Liu-Peng], Ren, C.[Chang], Tian, J.[Jing],
Road Extraction Convolutional Neural Network with Embedded Attention Mechanism for Remote Sensing Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yuan, W.[Wei], Xu, W.B.[Wen-Bo],
GapLoss: A Loss Function for Semantic Segmentation of Roads in Remote Sensing Images,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Guan, H.Y.[Hai-Yan], Yu, Y.T.[Yong-Tao], Li, D.L.[Di-Long], Wang, H.Y.[Han-Yun],
RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery,
ITS(23), No. 8, August 2022, pp. 11041-11051.
IEEE DOI 2208
Feature extraction, Roads, Remote sensing, Data mining, Optical sensors, Semantics, Road extraction, remote sensing imagery BibRef

Chen, H.[Hao], Peng, S.[Shuang], Du, C.[Chun], Li, J.[Jun], Wu, S.B.[Song-Bing],
SW-GAN: Road Extraction from Remote Sensing Imagery Using Semi-Weakly Supervised Adversarial Learning,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Chen, H.[Hao], Li, Z.H.[Zheng-Hong], Wu, J.J.[Jiang-Jiang], Xiong, W.[Wei], Du, C.[Chun],
SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning,
PandRS(198), 2023, pp. 169-183.
Elsevier DOI 2304
Semi-supervised learning, Road extraction, Generative adversarial network, Entropy map, Pseudo-labels BibRef

Zhang, X.Y.[Xin-Yu], Jiang, Y.[Yu], Wang, L.[Lizhe], Han, W.[Wei], Feng, R.[Ruyi], Fan, R.[Runyu], Wang, S.[Sheng],
Complex Mountain Road Extraction in High-Resolution Remote Sensing Images via a Light Roadformer and a New Benchmark,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Li, Y.[Yu], Liang, H.[Hao], Sun, G.M.[Guang-Min], Yuan, Z.F.[Zi-Feng], Zhang, Y.Z.[Yuan-Zhi], Zhang, H.S.[Hong-Sheng],
A Land Cover Background-Adaptive Framework for Large-Scale Road Extraction,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Eickeler, F.[Felix], Borrmann, A.[André],
Enhancing Railway Detection by Priming Neural Networks with Project Exaptations,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Zhang, Z.X.[Zi-Xuan], Sun, X.[Xuan], Liu, Y.X.[Yu-Xi],
GMR-Net: Road-Extraction Network Based on Fusion of Local and Global Information,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Chen, Y.[Yang], Yang, X.[Xin], Yang, L.[Ling], Feng, J.[Jiayu],
An Automatic Approach to Extracting Large-Scale Three-Dimensional Road Networks Using Open-Source Data,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Gülci, S.[Sercan], Acar, H.H.[Hafiz Hulusi], Akay, A.E.[Abdullah E.], Gülci, N.[Nese],
Evaluation of Automatic Prediction of Small Horizontal Curve Attributes of Mountain Roads in GIS Environments,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
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Jie, Y.S.[Yong-Shi], He, H.Y.[Hong-Yan], Xing, K.[Kun], Yue, A.[Anzhi], Tan, W.[Wei], Yue, C.Y.[Chun-Yu], Jiang, C.[Cheng], Chen, X.[Xuan],
MECA-Net: A MultiScale Feature Encoding and Long-Range Context-Aware Network for Road Extraction from Remote Sensing Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Lourenço, M.[Miguel], Estima, D.[Diogo], Oliveira, H.[Henrique], Oliveira, L.[Luís], Mora, A.[André],
Automatic Rural Road Centerline Detection and Extraction from Aerial Images for a Forest Fire Decision Support System,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Cao, X.H.[Xiang-Hai], Zhang, K.[Kai], Jiao, L.C.[Li-Cheng],
CSANet: Cross-Scale Axial Attention Network for Road Segmentation,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Liu, X.Z.[Xiang-Zeng], Wang, Z.[Ziyao], Wan, J.T.[Jin-Ting], Zhang, J.[Juli], Xi, Y.[Yue], Liu, R.[Ruyi], Miao, Q.G.[Qi-Guang],
RoadFormer: Road Extraction Using a Swin Transformer Combined with a Spatial and Channel Separable Convolution,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Tao, J.J.[Jing-Jing], Chen, Z.[Zhe], Sun, Z.C.[Zhong-Chang], Guo, H.D.[Hua-Dong], Leng, B.[Bo], Yu, Z.[Zhengbo], Wang, Y.L.[Yan-Li], He, Z.Q.[Zi-Qiong], Lei, X.Q.[Xiang-Qi], Yang, J.[Jinpei],
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State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning,
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IJGI(12), No. 5, 2023, pp. xx-yy.
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PAMI(45), No. 8, August 2023, pp. 10588-10595.
IEEE DOI 2307
TRaining yields better connectivity (roads, neurons). Topology, Network topology, Annotations, Roads, Image segmentation, Costs, Aerial images, connectivity, map reconstruction, road network reconstruction BibRef

Zhao, L.[Like], Ye, L.F.[Lin-Feng], Zhang, M.[Mi], Jiang, H.W.[Hua-Wei], Yang, Z.[Zhen], Yang, M.W.[Ming-Wang],
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Du, Y.[Yang], Sheng, Q.H.[Qing-Hong], Zhang, W.[Weili], Zhu, C.R.[Chong-Rui], Li, J.[Jun], Wang, B.[Bo],
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PandRS(203), 2023, pp. 230-245.
Elsevier DOI 2310
Local symmetry feature fusion, Global asymmetric semantic fusion, Multi-spectral Images, GF2 full-band china road dataset BibRef

Yin, A.[Anchao], Ren, C.[Chao], Yue, W.[Weiting], Shao, H.J.[Hong-Juan], Xue, X.Q.[Xiao-Qin],
CDAU-Net: A Novel CoordConv-Integrated Deep Dual Cross Attention Mechanism for Enhanced Road Extraction in Remote Sensing Imagery,
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Nie, Y.F.[Yun-Feng], An, K.[Kang], Chen, X.F.[Xing-Feng], Zhao, L.M.[Li-Min], Liu, W.[Wantao], Wang, X.[Xing], Yu, Y.H.[Yi-Hao], Luo, W.[Wenyi], Li, K.W.[Ke-Wei], Zhang, Z.Z.[Zhao-Zhong],
An Improved U-Net Network for Sandy Road Extraction from Remote Sensing Imagery,
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Ahmed, M.I.[Md. Imteaz], Foysal, M., Chaity, M.D.[Manisha Das], Aowlad Hossain, A.B.M.,
DeepRoadNet: A deep residual based segmentation network for road map detection from remote aerial image,
IET-IPR(18), No. 1, 2024, pp. 265-279.
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Deep learning, EfficientNetB7, Image segmentation, Residual model, Road map detection BibRef

Fu, L.Q.[Long-Qiang], Chai, H.M.[Hui-Ming], Lv, X.L.[Xiao-Lei],
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Sloan, S.[Sean], Talkhani, R.R.[Raiyan R.], Huang, T.[Tao], Engert, J.[Jayden], Laurance, W.F.[William F.],
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Winiwarter, L.[Lukas], Coops, N.C.[Nicholas C.], Bastyr, A.[Alex], Roussel, J.R.[Jean-Romain], Zhao, D.Q.R.[Daisy Q. R.], Lamb, C.T.[Clayton T.], Ford, A.T.[Adam T.],
Extraction of Forest Road Information from CubeSat Imagery Using Convolutional Neural Networks,
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Zhu, X.H.[Xian-Hong], Huang, X.H.[Xiao-Hui], Cao, W.J.[Wei-Jia], Yang, X.F.[Xiao-Fei], Zhou, Y.F.[Yun-Fei], Wang, S.K.[Shao-Kai],
Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer,
RS(16), No. 7, 2024, pp. 1183.
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Zhou, G.Y.[Guo-Yuan], He, C.X.[Chang-Xian], Wang, H.[Hao], Xie, Q.C.[Qiu-Chang], Chen, Q.[Qiong], Hong, L.[Liang], Chen, J.[Jie],
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Weng, Y.B.[Yan-Bin], Xu, M.[Meng], Chen, X.[Xiahu], Peng, C.[Cheng], Xiang, H.[Hui], Xie, P.X.[Pei-Xin], Yin, H.[Hua],
An Efficient Algorithm for Extracting Railway Tracks Based on Spatial-Channel Graph Convolutional Network and Deep Neural Residual Network,
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Zheng, H.[Haohua], Zhang, J.C.[Jian-Chen], Li, H.[Heying], Wang, G.X.[Guang-Xia], Guo, J.Z.[Jian-Zhong], Wang, J.Y.[Jia-Yao],
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Trier, Ø.D.[Øivind Due], Salberg, A.B.[Arnt-Børre],
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Gu, X.J.[Xing-Jian], Yu, S.[Supeng], Huang, F.[Fen], Ren, S.[Shougang], Fan, C.C.[Cheng-Cheng],
Consistency Self-Training Semi-Supervised Method for Road Extraction from Remote Sensing Images,
RS(16), No. 21, 2024, pp. 3945.
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Yu, H.[Hao], Du, S.H.[Shi-Hong], Tan, Z.S.[Zhen-Shan], Zhang, X.Y.[Xiu-Yuan], Li, Z.J.[Zhi-Jiang],
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Lu, J.C.[Jia-Chen], Li, H.Y.[Hong-Yang], Peng, R.[Renyuan], Wen, F.[Feng], Cai, X.Y.[Xin-Yue], Zhang, W.[Wei], Xu, H.[Hang], Zhang, L.[Li],
Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach,
ICCV23(23-33)
IEEE DOI 2401
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Chen, J.Z.[Jun-Zhang], Bai, X.Z.[Xiang-Zhi],
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD,
ICCV23(1053-1063)
IEEE DOI Code:
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Mastering Spatial Graph Prediction of Road Networks,
ICCV23(5385-5395)
IEEE DOI 2401
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He, Y.[Yang], Garg, R.[Ravi], Chowdhury, A.R.[Amber Roy],
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Bahl, G.[Gaetan], Bahri, M.[Mehdi], Lafarge, F.[Florent],
Single-Shot End-to-end Road Graph Extraction,
EarthVision22(1402-1411)
IEEE DOI 2210
Training, Satellites, Head, Roads, Image edge detection, Feature extraction, Graph neural networks BibRef

Can, Y.B.[Yigit Baran], Liniger, A.[Alexander], Paudel, D.P.[Danda Pani], Van Gool, L.J.[Luc J.],
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image,
CVPR22(17242-17251)
IEEE DOI 2210
Image segmentation, Network topology, Navigation, Roads, Neural networks, Estimation, Navigation and autonomous driving, Scene analysis and understanding BibRef

Botteghi, N., Sirmacek, B.[Beril], Ünsalan, C.[Cem],
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Andrade, A.C., Alixandrini Jr., M.J., Carvalho, F.P.S., Fernandes, V.O.,
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Zou, S.[Shide], Xiong, F.C.[Feng-Chao], Luo, H.[Haonan], Lu, J.F.[Jian-Feng], Qian, Y.T.[Yun-Tao],
AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images,
DICTA21(1-8)
IEEE DOI 2201
Image segmentation, Roads, Digital images, Semantics, Benchmark testing, Feature extraction, Sensors, road extraction, attention BibRef

Henry, C.[Corentin], Fraundorfer, F.[Friedrich], Vig, E.[Eleonora],
Aerial Road Segmentation in the Presence of Topological Label Noise,
ICPR21(2336-2343)
IEEE DOI 2105
Training, Image segmentation, Roads, Topology, Noise measurement. BibRef

Wang, Y.[Yooseung], Park, J.[Jihun],
Transitional Asymmetric Non-local Neural Networks for Real-World Dirt Road Segmentation,
ICPR21(6949-6956)
IEEE DOI 2105
Image segmentation, Roads, Computational modeling, Semantics, Neural networks, Real-time systems, Computational efficiency, convolutional neural network BibRef

Zhu, L., Li, Y., Shimamura, H.,
Road Extraction and Vectorization From Aerial Image Data,
ISPRS20(B2:1323-1327).
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TopoAL: An Adversarial Learning Approach for Topology-aware Road Segmentation,
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Citraro, L.[Leonardo], Kozinski, M.[Mateusz], Fua, P.[Pascal],
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images,
ECCV20(XXVIII:703-719).
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Lu, X., Li, Z., Cui, Z., Oswald, M.R., Pollefeys, M., Qin, R.,
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas,
CVPR20(856-864)
IEEE DOI 2008
Satellites, Semantics, Transforms, Layout, Roads BibRef

Baheti, B., Innani, S., Gajre, S., Talbar, S.,
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment,
WiCV20(1473-1481)
IEEE DOI 2008
Image segmentation, Semantics, Roads, Feature extraction, Decoding, Image resolution, Computer architecture BibRef

Etten, A.V.,
City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times,
WACV20(1775-1784)
IEEE DOI 2006
Roads, Feature extraction, Training, Satellites, Data mining, Image edge detection, Meters BibRef

Venator, M., Shen, F., Aklanoglu, S., Bruns, E., Diepold, K., Maier, A.,
Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation,
WACV20(1746-1755)
IEEE DOI 2006
Training, Roads, Image reconstruction, Task analysis, Adaptation models, Visualization BibRef

Chu, H., Li, D., Acuna, D., Kar, A., Shugrina, M., Wei, X., Liu, M., Torralba, A., Fidler, S.,
Neural Turtle Graphics for Modeling City Road Layouts,
ICCV19(4521-4529)
IEEE DOI 2004
cartography, computer graphics, graph theory, image representation, neural net architecture, recurrent neural nets, road traffic, Training BibRef

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Distance Weighted Loss for Forest Trail Detection Using Semantic Line,
ACIVS20(302-311).
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Batra, A.[Anil], Singh, S.[Suriya], Pang, G.[Guan], Basu, S.[Saikat], Jawahar, C.V., Paluri, M.[Manohar],
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Kahraman, I., Karas, I.R., Akay, A.E.[Abdullah E.],
Road Extraction Techniques From Remote Sensing Images: A Review,
GeoDisast18(339-342).
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Aich, S.[Shubhra], van der Kamp, W.[William], Stavness, I.[Ian],
Semantic Binary Segmentation Using Convolutional Networks without Decoders,
DeepGlobe18(182-1824)
IEEE DOI 1812
Image segmentation, Decoding, Convolution, Computational modeling, Roads, Semantics BibRef

Sun, T., Chen, Z., Yang, W., Wang, Y.,
Stacked U-Nets with Multi-output for Road Extraction,
DeepGlobe18(187-1874)
IEEE DOI 1812
Roads, Decoding, Encoding, Feature extraction, Neural networks, Satellites BibRef

Buslaev, A., Seferbekov, S., Iglovikov, V., Shvets, A.,
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery,
DeepGlobe18(197-1973)
IEEE DOI 1812
Roads, Image segmentation, Feature extraction, Satellites, Decoding, Convolution, Training BibRef

Filin, O., Zapara, A., Panchenko, S.,
Road Detection with EOSResUNet and Post Vectorizing Algorithm,
DeepGlobe18(201-2014)
IEEE DOI 1812
Roads, Neural networks, Task analysis, Satellites, Earth Observing System, Data analysis BibRef

Doshi, J.,
Residual Inception Skip Network for Binary Segmentation,
DeepGlobe18(206-2063)
IEEE DOI 1812
Roads, Convolutional codes, Image segmentation, Training, Satellites, Convolution, Task analysis BibRef

Warnke, S., Bulatov, D.,
Variable Selection for Road Segmentation in Aerial Images,
Hannover17(297-304).
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Commandre, B., En-Nejjary, D., Pibre, L., Chaumont, M., Delenne, C., Chahinian, N.,
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Yadav, S., Patra, S., Arora, C., Banerjee, S.,
Deep CNN with color lines model for unmarked road segmentation,
ICIP17(585-589)
IEEE DOI 1803
Adaptation models, Computational modeling, Image color analysis, Image edge detection, Image segmentation, Lighting, Roads, CNN, CRF, road detection BibRef

Zhang, C., Nguyen, T., Sah, S., Ptucha, R., Loui, A., Salvaggio, C.,
Batch-normalized recurrent highway networks,
ICIP17(640-644)
IEEE DOI 1803
Logic gates, Measurement, Road transportation, Task analysis, Training, Transforms, vanishing gradient BibRef

Máttyus, G.[Gellért], Luo, W., Urtasun, R.[Raquel],
DeepRoadMapper: Extracting Road Topology from Aerial Images,
ICCV17(3458-3466)
IEEE DOI 1802
feature extraction, geophysical image processing, image segmentation, learning (artificial intelligence), Topology BibRef

Costea, D., Marcu, A., Leordeanu, M., Slusanschi, E.,
Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization,
CVUAV17(2100-2109)
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Generators, Image edge detection, Image segmentation, Optimization, Roads BibRef

Zhang, J., Xia, S., Lu, K., Pan, H.[Hong], Qin, A.K.,
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ICPR16(859-864)
IEEE DOI 1705
Brightness, Dictionaries, Encoding, Feature extraction, Image segmentation, Roads, Robustness BibRef

Xia, S., Zhang, J.K.[Jun-Kang], Lu, K.Y.[Kai-Yue], Qin, A.K.,
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ICVNZ15(1-6)
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computer vision BibRef

Nadella, S.[Sandeep], Singh, A.[Amarjot], Omkar, S.N.,
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ICIP15(2989-2993)
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likelihood ratio; nonparametric; pixel-based; road detection; urban BibRef

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Road extraction via adaptive graph cuts with multiple features,
ICIP15(3962-3966)
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Adaptive graph cuts BibRef

Cheng, G.L.[Guang-Liang], Wang, Y.[Ying], Gong, Y.C.[Yong-Chao], Zhu, F.Y.[Fei-Yun], Pan, C.H.[Chun-Hong],
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Active contours BibRef

Harris, B., McDougall, K., Barry, M.,
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Wegner, J.D.[Jan D.], Montoya-Zegarra, J.A.[Javier A.], Schindler, K.[Konrad],
A Higher-Order CRF Model for Road Network Extraction,
CVPR13(1698-1705)
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Mohammadi, M.,
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Gaussian processes BibRef

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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Road Extraction Systems for High Resolution Data .