{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:21:04Z","timestamp":1760149264537,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T00:00:00Z","timestamp":1689811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangxi Provincial Natural Science Foundation of China, China","award":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"],"award-info":[{"award-number":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"]}]},{"name":"The Project of Guilin Science Research and Technology Development Plan, China","award":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"],"award-info":[{"award-number":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"]}]},{"name":"China Scholarship Council funded for study abroad, China","award":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"],"award-info":[{"award-number":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"]}]},{"name":"Key Laboratory Co-sponsored Foundation by Province and Ministry, China","award":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"],"award-info":[{"award-number":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China, China","doi-asserted-by":"publisher","award":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"],"award-info":[{"award-number":["2020GXNSFBA297077","2022GXNSFBA035648","20210217-17","202108455015","CRKL200103","61961036","62162054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Aiming at maritime infrared target detection with low contrast influenced by maritime clutter and illumination, this paper proposes a Modified Histogram Equalization with Edge Fusion (MHEEF) pre-processing algorithm in backlight maritime scenes and establishes Local-Contrast Saliency Models with Double Scale and Modes (LCMDSM) for detecting a target with the properties of positive and negative contrast. We propose a local-contrast saliency mathematical model with double modes in the extension of only one mode. Then, the big scale and small scale are combined into one Target Detection Unit (TDU), which can approach the \u201cfrom bottom to up\u201d mechanism of the Visual Attention Model (VAM) better and identify the target with a suitable size, approaching the target\u2019s actual shape. In the experimental results and analysis, clutter, foggy, backlight, and dim maritime scenes are chosen to verify the effectiveness of the target detection algorithm. From the enhancement result, the LCMDSM algorithm can achieve a Detection Rate (DR) with a value of 98.26% under each maritime scene on the average level and can be used in real-time detection with low computational cost.<\/jats:p>","DOI":"10.3390\/rs15143623","type":"journal-article","created":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T01:58:38Z","timestamp":1689904718000},"page":"3623","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Effective Method of Infrared Maritime Target Enhancement and Detection with Multiple Maritime Scene"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9978-9301","authenticated-orcid":false,"given":"Chang","family":"Ding","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China"}]},{"given":"Zhendong","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China"}]},{"given":"Yifeng","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Wuzhou University, Wuzhou 543002, China"}]},{"given":"Siyang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Communication and Information Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710699, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2495-4469","authenticated-orcid":false,"given":"Weidong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"103940","DOI":"10.1016\/j.infrared.2021.103940","article-title":"Infrared maritime small target detection based on edge and local intensity features","volume":"119","author":"Zhang","year":"2021","journal-title":"Infrared Phys. 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