{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T18:48:08Z","timestamp":1764874088775,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T00:00:00Z","timestamp":1697587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004829","name":"Science and Technology Program of Sichuan","doi-asserted-by":"publisher","award":["2022YFQ0052","2023ZHCG0013"],"award-info":[{"award-number":["2022YFQ0052","2023ZHCG0013"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Image registration plays a vital role in the mosaic process of multiple UAV (Unmanned Aerial Vehicle) images acquired from different spatial positions of the same scene. Aimed at the problem that many fast registration methods cannot provide both high speed and accuracy simultaneously for UAV visible light images, this work proposes a novel registration framework based on a popular baseline registration algorithm, ORB\u2014the Oriented FAST (Features from Accelerated Segment Test) and Rotated BRIEF (Binary Robust Independent Elemental Features) algorithm. First, the ORB algorithm is utilized to extract image feature points fast. On this basis, two bidirectional matching strategies are presented to match obtained feature points. Then, the PROSRC (Progressive Sample Consensus) algorithm is applied to remove false matches. Finally, the experiments are carried out on UAV image pairs about different scenes including urban, road, building, farmland, and forest. Compared with the original version and other state-of-the-art registration methods, the bi-matching ORB algorithm exhibits higher accuracy and faster speed without any training or prior knowledge. Meanwhile, its complexity is quite low for on-board realization.<\/jats:p>","DOI":"10.3390\/s23208566","type":"journal-article","created":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T10:36:56Z","timestamp":1697625416000},"page":"8566","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Fast Automatic Registration of UAV Images via Bidirectional Matching"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9534-592X","authenticated-orcid":false,"given":"Xin","family":"Luo","sequence":"first","affiliation":[{"name":"Yangtze Delta Region Institute (HuZhou), University of Electronic Science and Technology of China, Huzhou 313099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zuqi","family":"Wei","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (HuZhou), University of Electronic Science and Technology of China, Huzhou 313099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuwei","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Panzhihua University, Panzhihua 617000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (HuZhou), University of Electronic Science and Technology of China, Huzhou 313099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Lin","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (HuZhou), University of Electronic Science and Technology of China, Huzhou 313099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xufeng","family":"Wei","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (HuZhou), University of Electronic Science and Technology of China, Huzhou 313099, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjian","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5254","DOI":"10.1109\/TGRS.2019.2959606","article-title":"A new sample consensus based on sparse coding for improved matching of SIFT features on remote sensing images","volume":"58","author":"Etezadifar","year":"2020","journal-title":"IEEE Trans. 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