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However, underwater topography detection using a single SAR image is vulnerable to the interference of sea state and sensor noise, which reduces the detection accuracy. A new underwater topography detection method based on multi-source SAR (MSSTD) was proposed in this study to improve the detection precision. GF-3, Sentinel-1, ALOS PALSAR, and ENVISAT ASAR data were used to verify the sea area of Dazhou Island. The detection result was in good agreement with the chart data (MAE of 2.9 m and correlation coefficient of 0.93), and the detection accuracy was improved over that of a single SAR image. GF-3 image with 3 m spatial resolution performed best in bathymetry among the four SAR images. Additionally, the resolution of the SAR image had greater influence on bathymetry compared with polarization and radar band. The ability of MSSTD has been proved in our work. Collaborative multi-source satellite observation is a feasible and effective scheme in marine research, but its application potential in underwater topography detection still requires further exploration.<\/jats:p>","DOI":"10.3390\/rs14205184","type":"journal-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:31:01Z","timestamp":1666053061000},"page":"5184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-8884","authenticated-orcid":false,"given":"Longyu","family":"Huang","sequence":"first","affiliation":[{"name":"Ocean College, Zhejiang University, Zhoushan 316021, China"},{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"}]},{"given":"Junmin","family":"Meng","sequence":"additional","affiliation":[{"name":"Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Ocean Telemetry Technology Innovation Center, Ministry of Natural Resources, Qingdao 266061, China"}]},{"given":"Chenqing","family":"Fan","sequence":"additional","affiliation":[{"name":"Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Ocean Telemetry Technology Innovation Center, Ministry of Natural Resources, Qingdao 266061, China"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"},{"name":"Ocean Telemetry Technology Innovation Center, Ministry of Natural Resources, Qingdao 266061, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7514-3212","authenticated-orcid":false,"given":"Jingsong","family":"Yang","sequence":"additional","affiliation":[{"name":"Ocean College, Zhejiang University, Zhoushan 316021, China"},{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/S0378-3839(99)00041-1","article-title":"Shallow Water Bathymetry Derived from an Analysis of X-Band Marine Radar Images of Waves","volume":"37","author":"Bell","year":"1999","journal-title":"Coast. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1142\/S0578563499000036","article-title":"Coastal bathymetry from the wave spectrum of spot images","volume":"41","author":"Leu","year":"1999","journal-title":"Coast. Eng. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1109\/JSTARS.2020.3040186","article-title":"Bathymetric Retrieval Selectively Using Multiangular High-Spatial-Resolution Satellite Imagery","volume":"14","author":"Cao","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Huang, L., Yang, J., Meng, J., and Zhang, J. (2020). Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images. Remote Sens., 13.","DOI":"10.3390\/rs13010076"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1007\/s13131-019-1480-2","article-title":"A Newly Developed Ocean Significant Wave Height Retrieval Method from Envisat ASAR Wave Mode Imagery","volume":"38","author":"Fan","year":"2019","journal-title":"Acta Oceanol. Sin."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"112614","DOI":"10.1016\/j.rse.2021.112614","article-title":"Assessment of Ocean Wave Spectrum Using Global Envisat\/ASAR Data and Hindcast Simulation","volume":"264","author":"Li","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"112969","DOI":"10.1016\/j.rse.2022.112969","article-title":"Quad-Polarimetric SAR Sea State Retrieval Algorithm from Chinese Gaofen-3 Wave Mode Imagettes via Deep Learning","volume":"273","author":"Wang","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, J., Yang, J., Ren, L., Zhu, J., Yuan, X., and Xie, C. (2018). Empirical Algorithm for Significant Wave Height Retrieval from Wave Mode Data Provided by the Chinese Satellite Gaofen-3. Remote Sens., 10.","DOI":"10.3390\/rs10030363"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.isprsjprs.2020.08.006","article-title":"The Feasibility of Assessing Swell-Based Bathymetry Using SAR Imagery from Orbiting Satellites","volume":"168","author":"Bian","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.rse.2019.01.003","article-title":"Estimation of the Nearshore Bathymetry from High Temporal Resolution Sentinel-1A C-Band SAR Data\u2014A Case Study","volume":"223","author":"Pereira","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Santos, D., Abreu, T., Silva, P.A., and Baptista, P. (2020). Estimation of Coastal Bathymetry Using Wavelets. JMSE, 8.","DOI":"10.3390\/jmse8100772"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4527","DOI":"10.1080\/01431161.2010.489063","article-title":"Underwater Bottom Topography in Coastal Areas from TerraSAR-X Data","volume":"32","author":"Brusch","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1007\/s00343-008-0434-4","article-title":"Depth Inversion in Coastal Water Based on SAR Image of Waves","volume":"26","author":"Fan","year":"2008","journal-title":"Chin. J. Ocean. Limnol."},{"key":"ref_14","unstructured":"Themistocleous, K., Hadjimitsis, D.G., Michaelides, S., Ambrosia, V., and Papadavid, G. (2018). Extraction of Bathymetric Features Using Multiple SAR Images Produced by Sentinel-1. Proceedings of the Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), SPIE."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Bian, X., Shao, Y., Tian, W., Wang, S., Zhang, C., Wang, X., and Zhang, Z. (2017). Underwater Topography Detection in Coastal Areas Using Fully Polarimetric SAR Data. Remote Sens., 9.","DOI":"10.3390\/rs9060560"},{"key":"ref_16","first-page":"13","article-title":"Shallow Sea Topography Detection Using Fully Polarimetric Gaofen-3 SAR Data Based on Swell Patterns","volume":"41","author":"Huang","year":"2022","journal-title":"Acta Oceanol. Sin."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1017\/S0373463315000454","article-title":"Estimation of Shallow Water Depth Using HJ-1C S-Band SAR Data","volume":"69","author":"Bian","year":"2016","journal-title":"J. Navig."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1109\/LGRS.2013.2274475","article-title":"Ajai Estimation of Coastal Bathymetry Using RISAT-1 C-Band Microwave SAR Data","volume":"11","author":"Mishra","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_19","unstructured":"LeBlond, P.H., and Mysak, L.A. (1981). Waves in the Ocean, Elsevier."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Howd, P. (1998). Beach Processes and Sedimentation, Wiley.","DOI":"10.1029\/98EO00170"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"073694","DOI":"10.1117\/1.JRS.7.073694","article-title":"Coastal Wave Field Extraction Using TerraSAR-X Data","volume":"7","author":"Bruck","year":"2013","journal-title":"J. Appl. Remote Sens"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1109\/JOE.2005.857503","article-title":"Extraction of Coastal Ocean Wave Fields From SAR Images","volume":"30","author":"Collard","year":"2005","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1109\/TGRS.2009.2033177","article-title":"Investigation of Ocean Surface Wave Refraction Using TerraSAR-X Data","volume":"48","author":"Li","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","unstructured":"Arko, R., Ryan, W., Carbotte, S., Melkonian, A., Coplan, J., O\u2019Hara, S., Chayes, D., Weissel, R., Goodwillie, A., and Ferrini, V. (2007, January 10\u201314). The Global Multi-Resolution Topography (GMRT) Synthesis. Proceedings of the AGU Fall Meeting Abstracts, San Francisco, CA, USA."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"374579","DOI":"10.1155\/2015\/374579","article-title":"Linear Dispersion Relation and Depth Sensitivity to Swell Parameters: Application to Synthetic Aperture Radar Imaging and Bathymetry","volume":"2015","author":"Boccia","year":"2015","journal-title":"Sci. World J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1080\/10106049.2020.1829100","article-title":"Synergistic Utilization of Optical and Microwave Satellite Data for Coastal Bathymetry Estimation","volume":"37","author":"Misra","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_27","unstructured":"Wiehle, S., and Pleskachevsky, A. (2018, January 4\u20137). Bathymetry Derived from Sentinel-1 Synthetic Aperture Radar Data. Proceedings of the EUSAR 2018, 12th European Conference on Synthetic Aperture Radar, Aachen, Germany."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s12567-018-0234-4","article-title":"Automatic Bathymetry Retrieval from SAR Images","volume":"11","author":"Wiehle","year":"2019","journal-title":"CEAS Space J."},{"key":"ref_29","unstructured":"Jackson, C.R., and Apel, J.R. (2004). Synthetic Aperture Radar: Marine User\u2019s Manual."},{"key":"ref_30","first-page":"0148","article-title":"Simulation analysis for remote sensing inversion of wavelength and water depth by the Fast Fourier Transform method","volume":"02","author":"Shen","year":"2019","journal-title":"J. East China Norm. Univ. (Nat. Sci.)"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5184\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:55:34Z","timestamp":1760144134000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":30,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14205184"],"URL":"https:\/\/doi.org\/10.3390\/rs14205184","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,17]]}}}