{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T13:32:23Z","timestamp":1783690343170,"version":"3.55.0"},"reference-count":40,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,11]],"date-time":"2021-04-11T00:00:00Z","timestamp":1618099200000},"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":["41701394"],"award-info":[{"award-number":["41701394"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671334"],"award-info":[{"award-number":["61671334"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41901357"],"award-info":[{"award-number":["41901357"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Open Research Fund Program of the Key Laboratory of Digital Mapping and Land Information Application Engineering, the Ministry of Natural Resources","award":["ZRZYBWD201903"],"award-info":[{"award-number":["ZRZYBWD201903"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>While geometric registration has been studied in remote sensing community for many decades, successful cases are rare, which register images allowing for local inconsistency deformation caused by topographic relief. Toward this end, a region-by-region registration combining the feature-based and optical flow methods is proposed. The proposed framework establishes on the calculation of pixel-wise displacement and mosaic of displacement fields. Concretely, the initial displacement fields for a pair of images are calculated by the block-weighted projective model and Brox optical flow estimation, respectively in the flat- and complex-terrain regions. The abnormal displacements resulting from the sensitivity of optical flow in the land use or land cover changes, are adaptively detected and corrected by the weighted Taylor expansion. Subsequently, the displacement fields are mosaicked seamlessly for subsequent steps. Experimental results show that the proposed method outperforms comparative algorithms, achieving the highest registration accuracy qualitatively and quantitatively.<\/jats:p>","DOI":"10.3390\/rs13081475","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T05:52:00Z","timestamp":1618206720000},"page":"1475","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Region-by-Region Registration Combining Feature-Based and Optical Flow Methods for Remote Sensing Images"],"prefix":"10.3390","volume":"13","author":[{"given":"Ruitao","family":"Feng","sequence":"first","affiliation":[{"name":"School of Geography and Tourism, Shaanxi Normal University, Xi\u2019an 710062, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4615-2029","authenticated-orcid":false,"given":"Qingyun","family":"Du","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China"},{"name":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huanfeng","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China"},{"name":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2094-6480","authenticated-orcid":false,"given":"Xinghua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,11]]},"reference":[{"key":"ref_1","first-page":"66","article-title":"Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring","volume":"72","author":"Ballesteros","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1016\/j.patcog.2015.01.027","article-title":"Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain","volume":"48","author":"Raza","year":"2015","journal-title":"Pattern Recognit."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.patcog.2016.09.004","article-title":"A novel learning-based dissimilarity metric for rigid and non-rigid medical image registration by using Bhattacharyya Distances","volume":"62","author":"So","year":"2017","journal-title":"Pattern Recognit."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2450","DOI":"10.1016\/j.patcog.2011.04.008","article-title":"Non-rigid image registration of brain magnetic resonance images using graph-cuts","volume":"44","author":"So","year":"2011","journal-title":"Pattern Recognit."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"107533","DOI":"10.1016\/j.patcog.2020.107533","article-title":"Modality adversarial neural network for visible-thermal person re-identification","volume":"107","author":"Hao","year":"2020","journal-title":"Pattern Recognit."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"107416","DOI":"10.1016\/j.patcog.2020.107416","article-title":"Gesture recognition based on deep deformable 3D convolutional neural networks","volume":"107","author":"Zhang","year":"2020","journal-title":"Pattern Recognit."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1109\/TGRS.2007.892601","article-title":"ARRSI: Automatic Registration of Remote-Sensing Images","volume":"45","author":"Wong","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1016\/S0262-8856(00)00101-3","article-title":"Volume image registration by template matching","volume":"19","author":"Ding","year":"2001","journal-title":"Image Vis. Comput."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1016\/j.patcog.2008.11.033","article-title":"Image registration using Markov random coefficient and geometric transformation fields","volume":"42","author":"Alba","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_10","first-page":"1","article-title":"Remote sensing image registration based on local structural information and global constraint","volume":"13","author":"Wu","year":"2019","journal-title":"J. Appl. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3215","DOI":"10.1080\/01431161.2018.1437295","article-title":"Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information","volume":"39","author":"Chen","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1080\/17538947.2016.1151955","article-title":"A combined image matching method for Chinese optical satellite imagery","volume":"9","author":"Duan","year":"2016","journal-title":"Int. J. Digit. Earth"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1109\/TGRS.2017.2656380","article-title":"Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity","volume":"55","author":"Ye","year":"2017","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_14","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":"Flusser","year":"2003","journal-title":"Image Vis. Comput."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1109\/LGRS.2019.2899123","article-title":"Remote Sensing Image Registration Based on Modified SIFT and Feature Slope Grouping","volume":"16","author":"Chang","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2576","DOI":"10.1080\/01431161.2018.1528402","article-title":"High-resolution image registration based on improved SURF detector and localized GTM","volume":"40","author":"Sedaghat","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","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_18","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1007\/11744023_32","article-title":"SURF: Speeded Up Robust Features","volume":"110","author":"Bay","year":"2006","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1145\/358669.358692","article-title":"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography","volume":"24","author":"Fischler","year":"1981","journal-title":"Commun. ACM"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Wang, Y., Shen, J., Liao, W., and Zhou, L. (2010, January 16\u201318). Automatic fundus images mosaic based on SIFT feature. Proceedings of the 23rd International Congress on Image and Signal Processing, Yantai, China.","DOI":"10.1109\/CISP.2010.5647550"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4895","DOI":"10.1109\/TGRS.2013.2285814","article-title":"A Novel Image Registration Algorithm for Remote Sensing Under Affine Transformation","volume":"52","author":"Song","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","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_23","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1109\/TIP.2005.863114","article-title":"A comparative study of transformation functions for nonrigid image registration","volume":"15","author":"Zagorchev","year":"2006","journal-title":"IEEE Trans. Image Process."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/36.3000","article-title":"Registration of images with geometric distortions","volume":"26","author":"Goshtasby","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.isprsjprs.2019.03.002","article-title":"Robust registration for remote sensing images by combining and localizing feature- and area-based methods","volume":"151","author":"Feng","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2923","DOI":"10.1109\/JSTARS.2016.2578362","article-title":"Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images","volume":"9","author":"Brigot","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","article-title":"Determining optical flow","volume":"17","author":"Horn","year":"1981","journal-title":"Artif. Intell."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1109\/TPAMI.2010.147","article-title":"SIFT Flow: Dense Correspondence across Scenes and Its Applications","volume":"33","author":"Liu","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Lin, K., Jiang, N., Liu, S., Cheong, L.-F., Do, M., and Lu, J. (2017, January 21\u201326). Direct photometric alignment by mesh deformation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.289"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6335","DOI":"10.1109\/TGRS.2019.2905585","article-title":"OS-Flow: A Robust Algorithm for Dense Optical and SAR Image Registration","volume":"57","author":"Xiang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2198","DOI":"10.1109\/LGRS.2015.2455071","article-title":"A New Coregistration Algorithm for Recent Applications on Urban SAR Images","volume":"12","author":"Plyer","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_32","unstructured":"Soille, P. (2013). Morphological Image Analysis: Principles and Applications, Springer Science & Business Media."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/1049-9652(92)90055-3","article-title":"Methods for fast morphological image transforms using bitmapped binary images","volume":"54","year":"1992","journal-title":"CVGIP Graph. Models Image Process."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Blanchet, G., and Charbit, M. (2006). Digital Signal and Image Processing Using MATLAB, Wiley Online Library.","DOI":"10.1002\/9780470612385"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Feng, R., Li, X., Zou, W., and Shen, H. (2017, January 17\u201320). Registration of multitemporal GF-1 remote sensing images with weighting perspective transformation model. Proceedings of the IEEE International Conference on Image Processing (ICIP), Beijing, China.","DOI":"10.1109\/ICIP.2017.8296685"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Brox, T., Bruhn, A., Papenberg, N., and Weickert, J. (2004, January 11\u201314). High Accuracy Optical Flow Estimation Based on a Theory for Warping. Proceedings of the European Conference on Computer Vision (ECCV), Prague, Czech Republic.","DOI":"10.1007\/978-3-540-24673-2_3"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1109\/TPAMI.2006.141","article-title":"Full-frame video stabilization with motion inpainting","volume":"28","author":"Matsushita","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/10867651.2004.10487596","article-title":"An Image Inpainting Technique Based on the Fast Marching Method","volume":"9","author":"Telea","year":"2004","journal-title":"J. Graph. Tools"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MGRS.2019.2921780","article-title":"Remote Sensing Image Mosaicking: Achievements and Challenges","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6650","DOI":"10.1109\/TGRS.2015.2445632","article-title":"An Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution","volume":"53","author":"Han","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/8\/1475\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:28:00Z","timestamp":1760365680000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/8\/1475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,11]]},"references-count":40,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["rs13081475"],"URL":"https:\/\/doi.org\/10.3390\/rs13081475","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,11]]}}}