Data fusion of sea surface wind speed from multisatellite altimeters

Yuan Xu; Jingsong Yang; Guangjun Xu; Xiaoyan Chen; Lin Ren

doi:10.1117/12.2031409

26 October 2013 Data fusion of sea surface wind speed from multisatellite altimeters

Yuan Xu, Jingsong Yang, Guangjun Xu, Xiaoyan Chen, Lin Ren

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89210I (2013) https://doi.org/10.1117/12.2031409
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Satellite altimeters are widely used in the research of ocean dynamics. Data fusion methods such as Kriging method, successive correction method and inverse distance to a power method are used in this paper, and the appropriate parameters for these methods are achieved for the fusion of sea surface wind speed (SSW) data from GFO, Jason-1, Jason-2 and Envisat altimeters in China Seas and nearby. It is shown that (1) SSW fusion needs at least 3 satellites; (2) different methods have little impact on the merged result when using enough data; (3) the characteristics and distribution of result are agreed well with the statistical data in the study area.

Citation Download Citation

Yuan Xu, Jingsong Yang, Guangjun Xu, Xiaoyan Chen, and Lin Ren "Data fusion of sea surface wind speed from multisatellite altimeters", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210I (26 October 2013); https://doi.org/10.1117/12.2031409

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