{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:40:00Z","timestamp":1760244000888,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2009,9,8]],"date-time":"2009-09-08T00:00:00Z","timestamp":1252368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Spatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and operational registration system capable of registering multitemporal and multisensorial remote sensing satellite images with high accuracy and avoiding the use of ground control points, exploiting the maximum reliable information in both images (coastlines not occluded by clouds), which have been coarsely geometrically corrected only using an orbital prediction model. The automatic feature-based approach is summarized as follows: i) Reference image coastline extraction; ii) Sensed image gradient energy map estimation and iii) Contour matching, mapping function estimation and transformation of the sensed images. Several experimental results for single sensor imagery (AVHRR\/3) and multisensorial imagery (AVHRR\/3-SeaWiFS-MODIS-ATSR) from different viewpoints and dates have verified the robustness and accuracy of the proposed automatic registration algorithm, demonstrating its capability of registering satellite images of coastal areas within one pixel.<\/jats:p>","DOI":"10.3390\/a2031087","type":"journal-article","created":{"date-parts":[[2009,9,8]],"date-time":"2009-09-08T15:41:38Z","timestamp":1252424498000},"page":"1087-1104","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Featured-Based Algorithm for the Automated Registration of Multisensorial \/ Multitemporal Oceanographic Satellite Imagery"],"prefix":"10.3390","volume":"2","author":[{"given":"Francisco","family":"Eugenio","sequence":"first","affiliation":[{"name":"Signal and Communications Department, University of Las Palmas of Gran Canaria, Campus Universitario de Tafira, Edificio B de Telecomunicaci\u00f3n, 35017 Las Palmas de Gran Canaria, Spain"}]},{"given":"Javier","family":"Marcello","sequence":"additional","affiliation":[{"name":"Signal and Communications Department, University of Las Palmas of Gran Canaria, Campus Universitario de Tafira, Edificio B de Telecomunicaci\u00f3n, 35017 Las Palmas de Gran Canaria, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2009,9,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1080\/01431169408954129","article-title":"The problem of AVHRR image navigation revisited","volume":"15","author":"Krasnopolsky","year":"1994","journal-title":"International Journal of Remote Sensing"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1080\/014311697216900","article-title":"An automated method for navigation assessment for Earth survey sensors using island targets","volume":"18","author":"Patt","year":"1997","journal-title":"International Journal of Remote Sensing"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/83.366480","article-title":"A contour-based approach to multisensorial image registration","volume":"4","author":"Li","year":"1995","journal-title":"IEEE Transactions on Image Processing"},{"key":"ref_4","first-page":"1049","article-title":"Registration techniques for multisensorial remotely sensed imagery","volume":"562","author":"Fonseca","year":"1996","journal-title":"Photogrammetric Engineering and Remote Sensing"},{"key":"ref_5","unstructured":"Schowengerdt, R.A. 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