{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T12:36:40Z","timestamp":1772368600138,"version":"3.50.1"},"reference-count":26,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2021YFF0501202"],"award-info":[{"award-number":["2021YFF0501202"]}]},{"name":"National Key R&amp;D Program of China","award":["12374428"],"award-info":[{"award-number":["12374428"]}]},{"name":"National Key R&amp;D Program of China","award":["42176191"],"award-info":[{"award-number":["42176191"]}]},{"name":"National Key R&amp;D Program of China","award":["41706045"],"award-info":[{"award-number":["41706045"]}]},{"name":"National Key R&amp;D Program of China","award":["U22A2012"],"award-info":[{"award-number":["U22A2012"]}]},{"name":"National Natural Science Foundation of China","award":["2021YFF0501202"],"award-info":[{"award-number":["2021YFF0501202"]}]},{"name":"National Natural Science Foundation of China","award":["12374428"],"award-info":[{"award-number":["12374428"]}]},{"name":"National Natural Science Foundation of China","award":["42176191"],"award-info":[{"award-number":["42176191"]}]},{"name":"National Natural Science Foundation of China","award":["41706045"],"award-info":[{"award-number":["41706045"]}]},{"name":"National Natural Science Foundation of China","award":["U22A2012"],"award-info":[{"award-number":["U22A2012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The acoustic properties of seafloor sediments have always been important parameters in sound field analyses and exploration for marine resources, and the accurate acquisition of the acoustic properties of sediments is one of the difficulties in the study of underwater acoustics. In this study, sediment cores were taken from the northern South China Sea, and the acoustic properties were analyzed. Since traditional methods (such as regression equations or theoretical models) are difficult to apply in practical engineering applications, we applied remote sensing data to sound velocity prediction models for the first time. Based on the influencing mechanism of the acoustic properties of seafloor sediments, the sediments\u2019 source, type and physical properties have a great influence on the acoustic properties. Therefore, we replaced these influencing factors with easily accessible data and remote sensing data, such as parameters of granularity, distance to the nearest coast, decadal average sea surface productivity, water depth, etc., using deep neural networks (DNN) to develop a sound velocity prediction model. Compared with traditional mathematical analyses, the DNN model improved the accuracy of prediction and can be applied to practical engineering applications.<\/jats:p>","DOI":"10.3390\/rs15184483","type":"journal-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T03:54:06Z","timestamp":1694490846000},"page":"4483","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Sound Velocity Prediction Model for Seafloor Sediments Based on Deep Neural Networks"],"prefix":"10.3390","volume":"15","author":[{"given":"Zhengyu","family":"Hou","sequence":"first","affiliation":[{"name":"School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai 519000, China"},{"name":"Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5597-1352","authenticated-orcid":false,"given":"Jingqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography, MNR, No. 6 Xianxialing Road, Laoshan District, Qingdao 266061, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9465-0391","authenticated-orcid":false,"given":"Guanbao","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography, MNR, No. 6 Xianxialing Road, Laoshan District, Qingdao 266061, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1891","DOI":"10.1121\/1.388539","article-title":"Sound velocity and related properties of marine sediments","volume":"72","author":"Hamilton","year":"1982","journal-title":"J. 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