{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:27:57Z","timestamp":1776356877949,"version":"3.51.2"},"reference-count":28,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T00:00:00Z","timestamp":1550188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41876110"],"award-info":[{"award-number":["41876110"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fundamental Research Funds for the Central Universities of China","award":["HEUCF180601"],"award-info":[{"award-number":["HEUCF180601"]}]},{"name":"the Heilongjiang Province Outstanding Youth Science Fund of China","award":["JC2017017"],"award-info":[{"award-number":["JC2017017"]}]},{"name":"the Fok Ying-Tong Education Foundation of China","award":["151007"],"award-info":[{"award-number":["151007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>An adaptive approach is proposed to denoise and detect the underwater sonar image in this paper. Firstly, to improve the denoising performance of non-local spatial information in the underwater sonar image, an adaptive non-local spatial information denoising method based on the golden ratio is proposed. Then, a new adaptive cultural algorithm (NACA) is proposed to accurately and quickly complete the underwater sonar image detection in this paper. Concretely, NACA has two improvements. In the first place, to obtain better initial clustering centres, an adaptive initialization algorithm based on data field (AIA-DF) is proposed in this paper. Secondly, in the belief space of NACA, a new update strategy is adopted to update cultural individuals in terms of the quantum-inspired shuffled frog leaping algorithm (QSFLA). The experimental results show that the proposed denoising method in this paper can effectively remove relatively large and small filtering degree parameters and improve the denoising performance to some extent. Compared with other comparison algorithms, the proposed NACA can converge to the global optimal solution within small epochs and accurately complete the object detection, having better effectiveness and adaptability.<\/jats:p>","DOI":"10.3390\/rs11040396","type":"journal-article","created":{"date-parts":[[2019,2,17]],"date-time":"2019-02-17T22:11:50Z","timestamp":1550441510000},"page":"396","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["An Adaptive Denoising and Detection Approach for Underwater Sonar Image"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0281-0336","authenticated-orcid":false,"given":"Xingmei","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}]},{"given":"Qiming","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}]},{"given":"Jingwei","family":"Yin","sequence":"additional","affiliation":[{"name":"Acoustic science and Technology laboratory, Harbin Engineering University, Harbin 150001, China"},{"name":"College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China"},{"name":"Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Harbin 150001, China"}]},{"given":"Xiao","family":"Han","sequence":"additional","affiliation":[{"name":"Acoustic science and Technology laboratory, Harbin Engineering University, Harbin 150001, China"},{"name":"College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China"},{"name":"Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Harbin 150001, China"}]},{"given":"Wenqian","family":"Hao","sequence":"additional","affiliation":[{"name":"Institute of Acoustics, Chinese Academy of Science, Beijing 100190, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.apacoust.2016.06.028","article-title":"Narrowband Chan-Vese model of sonar image segmentation: An adaptive ladder initialization approach","volume":"113","author":"Wang","year":"2016","journal-title":"Appl. Acoust."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1016\/j.oceaneng.2010.03.003","article-title":"Sonar image segmentation based on GMRF and Level-set models","volume":"37","author":"Ye","year":"2010","journal-title":"Ocean Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, X., Liu, S., Teng, X., Sun, J., and Jiao, J. (2016, January 27\u201329). SFLA with PSO local search for detection sonar image. Proceedings of the 2016 35th Chinese Control Conference, Chengdu, China.","DOI":"10.1109\/ChiCC.2016.7553954"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Wu, J.P., and Guo, H. (2015, January 4\u20136). A method for sonar image segmentation based on combination of MRF and region growing. Proceedings of the 2015 5th International Conference on Communication Systems and Network Technologies, Gwalior, India.","DOI":"10.1109\/CSNT.2015.224"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.ins.2017.09.010","article-title":"A novel multi-modality image fusion method based on image decomposition and sparse representation","volume":"432","author":"Zhu","year":"2018","journal-title":"Inf. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.sigpro.2017.03.008","article-title":"Multifocus image fusion via fixed window technique of multiscale images and non-local means filtering","volume":"138","author":"Li","year":"2017","journal-title":"Signal Process."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wang, X., Liu, S., and Liu, Z. (2017). Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0177666"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1016\/j.sigpro.2010.10.001","article-title":"A novel fuzzy clustering algorithm with non-local adaptive spatial constraint for image segmentation","volume":"91","author":"Zhao","year":"2011","journal-title":"Signal Process."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neucom.2012.10.022","article-title":"Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation","volume":"106","author":"Zhao","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_10","first-page":"25","article-title":"Segmentation algorithm of fuzzy clustering on side scan sonar image","volume":"40","author":"Wang","year":"2012","journal-title":"J. Huazhong Univ. Sci. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1006\/cviu.1999.0804","article-title":"Three-class markovian segmentation of high-resolution sonar image","volume":"76","author":"Mignotte","year":"1999","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_12","first-page":"1216","article-title":"Sonar image segmentation using an unsupervised hierarchical MRF model","volume":"9","author":"Mignotte","year":"2000","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1023\/A:1020874308076","article-title":"A multiphase level set framework for image segmentation using the mumford and shah model","volume":"50","author":"Vese","year":"2002","journal-title":"Int. J. Comput. Vis."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Lianantonakis, M., and Petillot, Y. (2005, January 20\u201323). Sidescan sonar segmentation using active contours and level set methods. Proceedings of the Oceans Europe 2005, Brest, France, France.","DOI":"10.1109\/OCEANSE.2005.1511803"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1109\/JOE.2007.893683","article-title":"Sidescan sonar segmentation using texture descriptors and active contours","volume":"32","author":"Lianantonakis","year":"2007","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1016\/j.phpro.2012.05.192","article-title":"Sonar image segmentation based on an improved level set method","volume":"33","author":"Liu","year":"2012","journal-title":"Phys. Procedia"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.ins.2016.10.039","article-title":"CADE: A Hybridization of cultural algorithm and differential evolution for numerical optimization","volume":"378","author":"Awad","year":"2017","journal-title":"Inf. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.eswa.2016.09.021","article-title":"A new PSO-based approach to fire flame detection using K-Medoids clustering","volume":"68","author":"Khatami","year":"2017","journal-title":"Expert Syst. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.eswa.2018.01.028","article-title":"Optimization of computer aided detection systems: An evolutionary approach","volume":"100","author":"Morra","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"ref_20","unstructured":"Wei, Z., and Bu, Y. (2012, January 23\u201325). Cultural particle swarm optimization algorithm and its application. Proceedings of the 2012 24th Chinese Control and Decision Conference, Taiyuan, China."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.knosys.2016.03.009","article-title":"A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems","volume":"101","author":"Liu","year":"2016","journal-title":"Knowl. Based Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"17733","DOI":"10.1038\/s41598-017-17945-3","article-title":"An adaptive cultural algorithm with improved quantum-behaved particle swarm optimization for sonar image detection","volume":"7","author":"Wang","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1049\/cje.2016.05.001","article-title":"Clustering by fast search and find of density peaks with data field","volume":"25","author":"Wang","year":"2016","journal-title":"Chin. J. Electron."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.3724\/SP.J.1016.2013.01835","article-title":"Quantum algorithms and quantum-inspired algorithms","volume":"36","author":"Zhang","year":"2013","journal-title":"Chin. J. Comput."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1049\/cje.2018.03.006","article-title":"Underwater sonar image detection: A novel quantum-inspired shuffled frog leaping algorithm","volume":"27","author":"Wang","year":"2018","journal-title":"Chin. J. Electron."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/JSEE.2013.00051","article-title":"Enhanced minimum attribute reduction based on quantum-inspired shuffled frog leaping algorithm","volume":"24","author":"Ding","year":"2013","journal-title":"J. Syst. Eng. Electron."},{"key":"ref_27","first-page":"743","article-title":"A minimum attribute self-adaptive cooperative co-evolutionary reduction algorithm based on quantum elitist frogs","volume":"51","author":"Ding","year":"2014","journal-title":"J. Comput. Res. Dev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.ijheatmasstransfer.2015.01.140","article-title":"Solving inverse problems of radiative heat transfer and phase change in semitransparent medium by using improved quantum particle swarm optimization","volume":"85","author":"Zhang","year":"2015","journal-title":"Int. J. Heat Mass Transf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/4\/396\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:32:26Z","timestamp":1760185946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/4\/396"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,15]]},"references-count":28,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11040396"],"URL":"https:\/\/doi.org\/10.3390\/rs11040396","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,15]]}}}