{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,21]],"date-time":"2023-12-21T00:23:20Z","timestamp":1703118200832},"reference-count":39,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T00:00:00Z","timestamp":1702857600000},"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":["42275147"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Images captured by deep space probes exhibit large-scale variations, irregular overlap, and remarkable differences in field of view. These issues present considerable challenges for the registration of multi-view asteroid sensor images. To obtain accurate, dense, and reliable matching results of homonymous points in asteroid images, this paper proposes a new scale-invariant feature matching and displacement scalar field-guided optical-flow-tracking method. The method initially uses scale-invariant feature matching to obtain the geometric correspondence between two images. Subsequently, scalar fields of coordinate differences in the x and y directions are constructed based on this correspondence. Next, interim images are generated using the scalar field grid. Finally, optical-flow tracking is performed based on these interim images. Additionally, to ensure the reliability of the matching results, this paper introduces three methods for eliminating mismatched points: bidirectional optical-flow tracking, vector field consensus, and epipolar geometry constraints. Experimental results demonstrate that the proposed method achieves a 98% matching correctness rate and a root mean square error of 0.25 pixels. By combining the advantages of feature matching and optical-flow field methods, this approach achieves image homonymous point matching results with precision and density. The matching method exhibits robustness and strong applicability for asteroid images with cross-scale, large displacement, and large rotation angles.<\/jats:p>","DOI":"10.3390\/rs15245786","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T15:04:47Z","timestamp":1702911887000},"page":"5786","source":"Crossref","is-referenced-by-count":0,"title":["Feature Scalar Field Grid-Guided Optical-Flow Image Matching for Multi-View Images of Asteroid"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5287-4063","authenticated-orcid":false,"given":"Sheng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Yong","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"School of Computing and Mathematics, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK"}]},{"given":"Yubing","family":"Tang","sequence":"additional","affiliation":[{"name":"Shandong Province Institute of Land Surveying and Mapping, Jinan 250013, China"}]},{"given":"Ruishuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shandong Zhengyuan Aerial Remote Sensing Technology Co., Ltd., Jinan 250101, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9185-9237","authenticated-orcid":false,"given":"Xingxing","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Chong","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Wenping","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Arnold, G.E., Helbert, J., and Kappel, D. 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