{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T07:01:34Z","timestamp":1720335694687},"reference-count":36,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"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":["61573275, 61671370"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Science Foundation of China","award":["2016M592790","2016BSHEDZZ46"]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xjj2016066"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Image registration is a crucial and fundamental problem in image processing and computer vision, which aims to align two or more images of the same scene acquired from different views or at different times. In image registration, since different keypoints (e.g., corners) or similarity measures might lead to different registration results, the selection of keypoint detection algorithms or similarity measures would bring uncertainty. These different keypoint detectors or similarity measures have their own pros and cons and can be jointly used to expect a better registration result. In this paper, the uncertainty caused by the selection of keypoint detector or similarity measure is addressed using the theory of belief functions, and image information at different levels are jointly used to achieve a more accurate image registration. Experimental results and related analyses show that our proposed algorithm can achieve more precise image registration results compared to several prevailing algorithms.<\/jats:p>","DOI":"10.3390\/s19051091","type":"journal-article","created":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T10:45:36Z","timestamp":1551696336000},"page":"1091","source":"Crossref","is-referenced-by-count":8,"title":["A New Image Registration Algorithm Based on Evidential Reasoning"],"prefix":"10.3390","volume":"19","author":[{"given":"Zhe","family":"Zhang","sequence":"first","affiliation":[{"name":"MOE KLINNS Lab, Institute of Integrated Automation, School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5603-796X","authenticated-orcid":false,"given":"Deqiang","family":"Han","sequence":"additional","affiliation":[{"name":"MOE KLINNS Lab, Institute of Integrated Automation, School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"given":"Jean","family":"Dezert","sequence":"additional","affiliation":[{"name":"ONERA, The French Aerospace Lab, Chemin de la Huni\u00e8re, F-91761 Palaiseau, France"}]},{"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"SKLSVMS, School of Aerospace, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.inffus.2018.07.010","article-title":"A survey on region based image fusion methods","volume":"48","author":"Meher","year":"2019","journal-title":"Inf. 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