{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:15:15Z","timestamp":1775697315431,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"vor","delay-in-days":196,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1709203"],"award-info":[{"award-number":["U1709203"]}],"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":["52001097"],"award-info":[{"award-number":["52001097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Multibeam imaging sonar has become an increasingly important tool in the field of underwater object detection and description. In recent years, the scale\u2010invariant feature transform (SIFT) algorithm has been widely adopted to obtain stable features of objects in sonar images but does not perform well on multibeam sonar images due to its sensitivity to speckle noise. In this paper, we introduce MBS\u2010SIFT, a SIFT\u2010like feature detector and descriptor for multibeam sonar images. This algorithm contains a feature detector followed by a local feature descriptor. A new gradient definition robust to speckle noise is presented to detect extrema in scale space, and then, interest points are filtered and located. It is also used to assign orientation and generate descriptors of interest points. Simulations and experiments demonstrate that the proposed method can capture features of underwater objects more accurately than existing approaches.<\/jats:p>","DOI":"10.1155\/2021\/8845814","type":"journal-article","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T21:50:08Z","timestamp":1626472208000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A SIFT\u2010Like Feature Detector and Descriptor for Multibeam Sonar Imaging"],"prefix":"10.1155","volume":"2021","author":[{"given":"Wanyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0174-5122","authenticated-orcid":false,"given":"Chao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiqin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,7,16]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csr.2012.08.010"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2016.0322"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/7340130"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2006.08.001"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2011.2107250"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/s19132903"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2018.2830938"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-3005-5_24"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-020-04414-9"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-01923-1"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-020-00516-4"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2019.0695"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/2575904"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2051792"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2008440"},{"key":"e_1_2_9_17_2","article-title":"A novel approach for interest point detection via Laplacian-of-bilateral filter","volume":"3","author":"Huang M.","year":"2015","journal-title":"Journal of Sensors"},{"key":"e_1_2_9_18_2","doi-asserted-by":"crossref","unstructured":"LiB. XiaoR. LiZ. CaiR. LuB.-L. andZhangL. Rank-SIFT: learning to rank repeatable local interest points Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR \u203211) June 2011 Providence RI USA 1737\u20131744.","DOI":"10.1109\/CVPR.2011.5995461"},{"key":"e_1_2_9_19_2","unstructured":"LiuJ.andYuX. Research on SAR image matching technology based on SIFT 37 21st International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences 2008 Beijing China no. Part B1 403\u2013408."},{"key":"e_1_2_9_20_2","doi-asserted-by":"crossref","unstructured":"WangV.andHayesM. P. Image registration of simulated synthetic aperture sonar images using SIFT Proceedings of the 29th International Conference on Image and Vision Computing 2014 New Zealand 31\u201336.","DOI":"10.1145\/2683405.2683407"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1080\/01431160902927622"},{"key":"e_1_2_9_22_2","volume-title":"Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX","author":"Tesfaye G.","year":"2014"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2216500"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/29.7550"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/36.673672"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1080\/19479832.2010.495322"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2323552"},{"key":"e_1_2_9_28_2","doi-asserted-by":"crossref","unstructured":"MikolajczykK.andSchmidC. Indexing based on scale invariant interest points 1 Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 2001 Vancouver BC Canada 525\u2013531.","DOI":"10.1109\/ICCV.2001.937561"},{"key":"e_1_2_9_29_2","doi-asserted-by":"crossref","unstructured":"LoweD. G. Object recognition from local scale-invariant features Proceedings of the seventh IEEE international conference on computer vision 1999 Kerkyra Greece 1150\u20131157.","DOI":"10.1109\/ICCV.1999.790410"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-74378-3"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2021\/8845814.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2021\/8845814.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/8845814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T10:38:53Z","timestamp":1725446333000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/8845814"}},"subtitle":[],"editor":[{"given":"Luca","family":"Vollero","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/8845814"],"URL":"https:\/\/doi.org\/10.1155\/2021\/8845814","archive":["Portico"],"relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"value":"1687-725X","type":"print"},{"value":"1687-7268","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2020-08-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-22","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"8845814"}}