{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:47:17Z","timestamp":1769633237001,"version":"3.49.0"},"reference-count":25,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,1,20]],"date-time":"2017-01-20T00:00:00Z","timestamp":1484870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["41371342"],"award-info":[{"award-number":["41371342"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61331016"],"award-info":[{"award-number":["61331016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"973 Program","doi-asserted-by":"publisher","award":["2013CB733404"],"award-info":[{"award-number":["2013CB733404"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This paper introduces an innovative road network extraction algorithm using synthetic aperture radar (SAR) imagery for improving the accuracy of road extraction. The state-of-the-art approaches, such as fraction extraction and road network optimization, failed to obtain continuous road segments in separate successions, since the optimization could not change the parts ignored by the fraction extraction. In this paper, the proposed algorithm integrates the fraction extraction and optimization procedure simultaneously to extract the road network: (1) the Bayesian framework is utilized to transfer the road network extraction to joint reasoning of the likelihood of fraction extraction and the priority of network optimization; (2) the multi-scale linear feature detector (MLFD) and the network optimization beamlet are introduced; (3) the conditional random field (CRF) is used to reason jointly. The result is the global optimum since the fraction extraction and network optimization are exploited at the same time. The proposed algorithm solves the problem that the fractions are bound to reduce in the process of network optimization and has demonstrated effectiveness in real SAR images applications.<\/jats:p>","DOI":"10.3390\/ijgi6010026","type":"journal-article","created":{"date-parts":[[2017,1,20]],"date-time":"2017-01-20T10:10:12Z","timestamp":1484907012000},"page":"26","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images"],"prefix":"10.3390","volume":"6","author":[{"given":"Rui","family":"Xu","sequence":"first","affiliation":[{"name":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"},{"name":"GuiZhou Survey\/Design Institute for Water Resources and Hydropower, Guiyang 550002, China"}]},{"given":"Chu","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"},{"name":"Electronic and Information School, Wuhan University, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4947-662X","authenticated-orcid":false,"given":"Xinlong","family":"Liu","sequence":"additional","affiliation":[{"name":"Electronic and Information School, Wuhan University, Wuhan 430079, China"}]},{"given":"Dong","family":"Chen","sequence":"additional","affiliation":[{"name":"ATR Key Lab, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Qianqing","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4576","DOI":"10.1109\/TGRS.2012.2236338","article-title":"Texture classification of PolSAR data based on sparse coding of wavelet polarization textons","volume":"8","author":"He","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","first-page":"11","article-title":"Review of road network extraction from SAR images","volume":"18","author":"Cheng","year":"2013","journal-title":"J. Image Graph."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","article-title":"A computational approach to edge detection","volume":"6","author":"Canny","year":"1986","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1109\/36.763290","article-title":"Fuzzy fusion techniques for linear features detection in multitemporal SAR images","volume":"37","author":"Chanussot","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1109\/36.7708","article-title":"A statistical and geometrical edge detector for SAR images","volume":"26","author":"Touzi","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/B:VISI.0000013086.45688.5d","article-title":"A Gibbs point process for road extraction from remotely sensed images","volume":"57","author":"Stoica","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2962","DOI":"10.1109\/TGRS.2006.877289","article-title":"Junction-aware extraction and regularization of urban road networks in high-resolution SAR images","volume":"44","author":"Negri","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1109\/36.662728","article-title":"Detection of linear features in SAR images: Application to road network extraction","volume":"36","author":"Tupin","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1109\/JSTARS.2010.2053521","article-title":"Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields","volume":"4","author":"Wegner","year":"2011","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_10","unstructured":"He, X., Zemel, R., and Carreira, M. (July, January 27). Multiscale conditional random fields for image labeling. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, USA."},{"key":"ref_11","unstructured":"Huang, Z., Xu, F., Lu, L., and Nie, H. (2014). IOP Conference Series: Earth and Environmental Science, IOP Publishing."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"He, C., Shi, B., Zhang, Y., Su, X., Yang, W., and Xu, X. (2013, January 21\u201326). The algorithm of building area extraction based on boundary prior and conditional random field for SAR image. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium-IGARSS, Melbourne, Australia.","DOI":"10.1109\/IGARSS.2013.6723025"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Wegner, J., Montoya-Zegarra, J., and Schindler, K. (2013, January 23\u201328). A higher-order CRF model for road network extraction. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA.","DOI":"10.1109\/CVPR.2013.222"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1687-6180-2012-235","article-title":"A novel linear feature detector for SAR images","volume":"2012","author":"He","year":"2012","journal-title":"Eurasip J. Adv. Signal Process."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1109\/JSTARS.2012.2219614","article-title":"Road Extraction From SAR Imagery Based on Multiscale Geometric Analysis of Detector Responses","volume":"5","author":"He","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1214\/aos\/1018031261","article-title":"Wedgelets: Nearly minimax estimation of edges","volume":"27","author":"Donoho","year":"1999","journal-title":"Ann. Stat."},{"key":"ref_17","unstructured":"Donoho, D., Levi, O., Starck, J., and Martinez, V. (2002). Astronomical Telescopes and Instrumentation, International Society for Optics and Photonics."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1109\/JSTARS.2014.2360776","article-title":"SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation","volume":"8","author":"Dong","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","unstructured":"Borghys, D., Lacroix, V., and Perneel, C. (2002, January 11\u201315). Edge and line detection in polarimetric SAR images. Proceedings of the International Conference On Pattern Recognition, Quebec City, QC, Canada."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s11263-006-7007-9","article-title":"Discriminative random fields","volume":"68","author":"Kumar","year":"2006","journal-title":"Int. J. Comput. Vis."},{"key":"ref_21","unstructured":"Donoho, D., and Huo, X. (2002). Multiscale and Multiresolution Methods, Springer."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/36.981346","article-title":"Road detection in spaceborne SAR images using a genetic algorithm","volume":"40","author":"Jeon","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","first-page":"979","article-title":"Automatic completion and evaluation of road networks","volume":"33","author":"Wiedemann","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_24","unstructured":"Li, S.Z. (2009). Markov Random Field Modeling in Image Analysis, Springer Science & Business Media."},{"key":"ref_25","unstructured":"Gould, S., Russakovsky, O., Goodfellow, I., Baumstarck, P., Ng, A., and Koller, D. The STAIR Vision Library. Available online: http:\/\/ai.stanford.edu\/ sgould\/svl."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/1\/26\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:26:39Z","timestamp":1760207199000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/1\/26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,20]]},"references-count":25,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["ijgi6010026"],"URL":"https:\/\/doi.org\/10.3390\/ijgi6010026","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,20]]}}}