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随着卫星遥感技术的快速发展,星载微波遥感作为观测海温的手段之一,受到越来越多的关注。总结了国内外星载微波遥感观测海温的发展历程和微波遥感反演海温的理论基础,归纳了多元线性回归算法和非线性迭代算法两种主要的算法类型,在此基础上介绍了国外的TMI和AM-SR-E以及国内FY-3和HY-2等卫星上搭载的先进微波传感器仪器的运行参数、通道特征及其相应的反演算法,最后分析了微波遥感反演海温的影响因素,指出了目前研究中存在的问题,并对今后的研究方向进行了展望。
With the rapid development of satellite remote sensing technology, satellite-based microwave remote sensing has drawn more and more attention as one of the means to observe the sea temperature. Summarizes the development history of SST at home and abroad and the theoretical basis of SST inversion by microwave remote sensing, concludes two main types of algorithms, Multivariate Linear Regression Algorithm and Nonlinear Iterative Algorithm. Based on this, TMI, AM-SR-E and advanced microwave sensor instruments mounted on domestic FY-3 and HY-2 satellites, the channel characteristics and their corresponding inversion algorithms. Finally, the inversion of SST Influencing factors, pointed out the problems existing in the current research, and prospected the future research direction.