{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:09:39Z","timestamp":1774879779676,"version":"3.50.1"},"reference-count":45,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T00:00:00Z","timestamp":1493856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61222304"],"award-info":[{"award-number":["No.61222304"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013286","name":"Specialized Research Fund for the Doctoral Program of Higher Education","doi-asserted-by":"publisher","award":["No.20121102110032"],"award-info":[{"award-number":["No.20121102110032"]}],"id":[{"id":"10.13039\/501100013286","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Image registration is a basic but essential step for remote sensing image processing, and finding stable features in multitemporal images is one of the most considerable challenges in the field. The main shape contours of artificial objects (e.g., roads, buildings, farmlands, and airports) can be generally described as a group of line segments, which are stable features, even in images with evident background changes (e.g., images taken before and after a disaster). In this study, a registration method that uses line segments and their intersections is proposed for multitemporal remote sensing images. First, line segments are extracted in image pyramids to unify the scales of the reference image and the test image. Then, a line descriptor based on the gradient distribution of local areas is constructed, and the segments are matched in image pyramids. Lastly, triplets of intersections of matching lines are selected to estimate affine transformation between two images. Additional corresponding intersections are provided based on the estimated transformation, and an iterative process is adopted to remove outliers. The performance of the proposed method is tested on a variety of optical remote sensing image pairs, including synthetic and real data. Compared with existing methods, our method can provide more accurate registration results, even in images with significant background changes.<\/jats:p>","DOI":"10.3390\/rs9050439","type":"journal-article","created":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T11:44:18Z","timestamp":1493898258000},"page":"439","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Remote Sensing Image Registration with Line Segments and Their Intersections"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8225-2935","authenticated-orcid":false,"given":"Chengjin","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, No. 37 Xueyuan Road, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Optoelectronics Engineering, Beihang University, No. 37 Xueyuan Road, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,5,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","article-title":"Image registration methods: A survey","volume":"21","author":"Zitova","year":"2003","journal-title":"Image Vis. Comput."},{"key":"ref_2","unstructured":"Dawn, S., Saxena, V., and Sharma, B. (July, January 30). Remote sensing image registration techniques: A survey. Proceedings of the 4th International Conference on Image and Signal Processing (ICISP), Trois-Rivi\u00e8res, QC, Canada."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/0924-2716(91)90003-E","article-title":"Multisensor image fusion techniques in remote sensing","volume":"46","author":"Ehlers","year":"1991","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.3390\/rs3102243","article-title":"Monitoring Urban Tree Cover Using Object-Based Image Analysis and Public Domain Remotely Sensed Data","volume":"3","author":"Moskal","year":"2011","journal-title":"Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"122","DOI":"10.3390\/rs1030122","article-title":"Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications","volume":"1","author":"Alberga","year":"2009","journal-title":"Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.rse.2010.08.012","article-title":"Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation","volume":"115","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1109\/42.563664","article-title":"Multimodality image registration by maximization of mutual information","volume":"16","author":"Maes","year":"1997","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0031-9155\/46\/3\/201","article-title":"Medical image registration","volume":"46","author":"Hill","year":"2001","journal-title":"Phys. Med. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5265","DOI":"10.1080\/01431161.2013.786195","article-title":"Shape registration for remote-sensing images with background variation","volume":"34","author":"Jiang","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/0031-3203(83)90020-1","article-title":"Some experiments in relaxation image matching using corner features","volume":"16","author":"Wang","year":"1983","journal-title":"Pattern Recognit."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1023\/A:1008135310502","article-title":"The geometry and matching of lines and curves over multiple views","volume":"40","author":"Schmid","year":"2000","journal-title":"Int. J. Comput. Vis."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_13","unstructured":"Ke, Y., and Sukthankar, R. (July, January 27). PCA-SIFT: A more distinctive representation for local image descriptors. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, USA."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"Bay","year":"2008","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1137\/080732730","article-title":"ASIFT: A new framework for fully affine invariant image comparison","volume":"2","author":"Morel","year":"2009","journal-title":"SIAM J. Imaging Sci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., and Bradski, G. (,  2011). ORB: An efficient alternative to SIFT or SURF. Proceedings of the IEEE International Conference on Computer Vision (ICCV), Florence, Italy.","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4516","DOI":"10.1109\/TGRS.2011.2144607","article-title":"Uniform robust scale-invariant feature matching for optical remote sensing images","volume":"49","author":"Sedaghat","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TGRS.2014.2323552","article-title":"SAR-SIFT: A SIFT-like algorithm for SAR images","volume":"53","author":"Dellinger","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2076","DOI":"10.3390\/rs3092076","article-title":"Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (\u2102SIFT)","volume":"3","author":"Bradley","year":"2011","journal-title":"Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1109\/34.993558","article-title":"Shape matching and object recognition using shape contexts","volume":"24","author":"Belongie","year":"2002","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2169","DOI":"10.1080\/01431161003621585","article-title":"Feature-based image registration using the shape context","volume":"31","author":"Huang","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"095092","DOI":"10.1117\/1.JRS.9.095092","article-title":"Rotation and scale invariant shape context registration for remote sensing images with background variations","volume":"9","author":"Jiang","year":"2015","journal-title":"J. Appl. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107, O. (2012, January 3\u20137). Object matching using boundary descriptors. Proceedings of the British Machine Vision Association Conference (BMVC), Guildford, UK.","DOI":"10.5244\/C.26.85"},{"key":"ref_24","unstructured":"Bay, H., Ferraris, V., and Van Gool, L. (2005, January 20\u201325). Wide-baseline stereo matching with line segments. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1016\/j.patcog.2008.08.035","article-title":"MSLD: A robust descriptor for line matching","volume":"42","author":"Wang","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1016\/j.jvcir.2013.05.006","article-title":"An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency","volume":"24","author":"Zhang","year":"2013","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Verhagen, B., Timofte, R., and Van Gool, L. (2014, January 24\u201326). Scale-invariant line descriptors for wide baseline matching. Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, USA.","DOI":"10.1109\/WACV.2014.6836061"},{"key":"ref_28","unstructured":"Wang, L., Neumann, U., and You, S. (October, January 29). Wide-baseline image matching using line signatures. Proceedings of the IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Fan, B., Wu, F., and Hu, Z. (2010, January 15\u201317). Line matching leveraged by point correspondences. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA.","DOI":"10.1109\/CVPR.2010.5540186"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107, O. (2012, January 3\u20137). Gradient edge map features for frontal face recognition under extreme illumination changes. Proceedings of the British Machine Vision Association Conference (BMVC), Guildford, UK.","DOI":"10.5244\/C.26.12"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Shi, X., and Jiang, J. (2016). Automatic Registration Method for Optical Remote Sensing Images with Large Background Variations Using Line Segments. Remote Sens., 8.","DOI":"10.3390\/rs8050426"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1117\/1.602363","article-title":"Segment-based registration technique for visual-infrared images","volume":"39","author":"Coiras","year":"2000","journal-title":"Opt. Eng."},{"key":"ref_33","first-page":"1","article-title":"Multimodal Image Registration with Line Segments by Selective Search","volume":"47","author":"Li","year":"2016","journal-title":"IEEE Trans. Cybern."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.isprsjprs.2016.04.002","article-title":"Registration of multitemporal aerial optical images using line features","volume":"117","author":"Zhao","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.1016\/j.patrec.2011.06.001","article-title":"EDLines: A real-time line segment detector with a false detection control","volume":"32","author":"Akinlar","year":"2011","journal-title":"Pattern Recognit. Lett."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10562","DOI":"10.3390\/rs70810562","article-title":"Building Fa\u00e7ade Recognition Using Oblique Aerial Images","volume":"7","author":"Yang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1026593302236","article-title":"Meaningful alignments","volume":"40","author":"Desolneux","year":"2000","journal-title":"Int. J. Comput. Vis."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1109\/36.295052","article-title":"A moment-based approach to registration of images with affine geometric distortion","volume":"32","author":"Flusser","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1109\/TPAMI.2007.250603","article-title":"A statistics-based approach to binary image registration with uncertainty analysis","volume":"29","author":"Simonson","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/00031305.1994.10476030","article-title":"The three sigma rule","volume":"48","author":"Pukelsheim","year":"1994","journal-title":"Am. Stat."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2499","DOI":"10.1016\/j.patcog.2012.01.013","article-title":"Colour invariants under a non-linear photometric camera model and their application to face recognition from video","volume":"45","year":"2012","journal-title":"Pattern Recognit."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Vedaldi, A., and Fulkerson, B. (2010, January 25\u201329). VLFeat: An open and portable library of computer vision algorithms. Proceedings of the 18th ACM International Conference on Multimedia, Firenze, Italy.","DOI":"10.1145\/1873951.1874249"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1145\/965139.807361","article-title":"Color gamut transform pairs","volume":"12","author":"Smith","year":"1978","journal-title":"ACM Comput. Graph."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0031-3203(86)90044-0","article-title":"Piecewise linear mapping functions for image registration","volume":"19","author":"Goshtasby","year":"1986","journal-title":"Pattern Recognit."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"5612","DOI":"10.1109\/TGRS.2013.2291001","article-title":"Parameter optimization for the extraction of matching points between high-resolution multisensor images in urban areas","volume":"52","author":"Han","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/5\/439\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:34:38Z","timestamp":1760207678000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/5\/439"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,4]]},"references-count":45,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2017,5]]}},"alternative-id":["rs9050439"],"URL":"https:\/\/doi.org\/10.3390\/rs9050439","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,4]]}}}