Remote Sensing Techniques for Detecting Internal Solitary Waves: A comprehensive review and prospects

被引:9
作者
Meng, Junmin [1 ]
Zhang, Hao [2 ]
Sun, Lina [1 ]
Wang, Jing [3 ]
机构
[1] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
[2] China Univ Petr, Qingdao 266061, Peoples R China
[3] Ocean Univ, Fac Informat Sci & Engn, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金;
关键词
Mathematical models; Remote sensing; Oceans; Optical sensors; Sensors; Dispersion; Satellites; SYNTHETIC-APERTURE RADAR; SOUTH CHINA SEA; OIL-SPILL DETECTION; X-BAND RADAR; SAR IMAGES; SATELLITE-OBSERVATIONS; AUTOMATED DETECTION; LEARNING MODEL; SURFACE-WAVES; DONGSHA ATOLL;
D O I
10.1109/MGRS.2024.3402673
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Oceanic internal solitary waves (ISWs) are widely distributed in oceans worldwide. ISWs exhibit significant amplitudes, high speeds, and short periods and thus have a substantial impact on the surrounding environment and engineering activities. Remote sensing plays a vital role in observing ISWs, with sensors encompassing traditional optical and synthetic aperture radar (SAR) means as well as SAR altimetry, 3D imaging radar altimetry, and innovative geostationary meteorological satellites. The data acquired from these sensors are extensively utilized to determine the spatiotemporal distribution and dissipation mechanisms of ISWs and are applied in parameter inversion. The rapid development of artificial intelligence technology has promoted remote sensing research on ISWs into a new era, relying on big data and high-performance algorithms to extract valuable information from imagery. This article reviews the current development of ISW remote sensing detection research, analyzes the problems of ISW detection by various remote sensing sensors, introduces the application of emerging artificial intelligence technology in ISW remote sensing research, and discusses future development trends.
引用
收藏
页码:46 / 78
页数:33
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