{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T10:24:29Z","timestamp":1778495069859,"version":"3.51.4"},"reference-count":37,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Program of China, Research on Mechanism and Model of Ocean Optical Remote Sensing Detectio","award":["2016YFC1400904"],"award-info":[{"award-number":["2016YFC1400904"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The current widely used bathymetric inversion model based on multispectral satellite imagery mostly relies on in-situ depth data for establishing a liner\/non-linear relationship between water depth and pixel reflectance. This paper evaluates the performance of a dual-band log-linear analysis model based on physics (P-DLA) for bathymetry without in-situ depth data. This is done using WorldView-2 images of blue and green bands. Further, the pixel sampling principles for solving the four key parameters of the model are summarized. Firstly, this paper elaborates on the physical mechanism of the P-DLA model. All unknown parameters of the P-DLA model are solved by different types of sampling pixels extracted from multispectral images for bathymetric measurements. Ganquan Island and Zhaoshu Island, where accuracy evaluation is performed for the bathymetric results of the P-DLA model with in-situ depth data, were selected to be processed using the method to evaluate its performance. The root mean square errors (RMSEs) of the Ganquan Island and Zhaoshu Island results are 1.69 m and 1.74 m with the mean relative error (MREs) of 14.8% and 18.3%, respectively. Meanwhile, the bathymetric inversion is performed with in-situ depth data using the traditional dual-band log-linear regression model (DLR). The results show that the accuracy of the P-DLA model bathymetry without in-situ depth data is roughly equal to that of the DLR model water depth inversion based on in-situ depth data. The results indicate that the P-DLA model can still obtain relatively ideal bathymetric results despite not having actual bathymetric data in the model training. It also demonstrates underwater microscopic features and changes in the islands and reefs.<\/jats:p>","DOI":"10.3390\/rs13214331","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T23:52:35Z","timestamp":1635465155000},"page":"4331","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea"],"prefix":"10.3390","volume":"13","author":[{"given":"Weidong","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1649-2703","authenticated-orcid":false,"given":"Li","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenge","family":"Qiu","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuifeng","family":"Luan","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naiying","family":"He","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Wei","sequence":"additional","affiliation":[{"name":"South China Sea Marine Institute of Environmental and Planning, Guangzhou 510000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"South China Sea Marine Institute of Environmental and Planning, Guangzhou 510000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zilin","family":"Yue","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubing","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Ocean Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Garcia, R.A., Lee, Z., and Hochberg, E.J. 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