Journal article
The dependence of sea SAR image distribution parameters on surface wave characteristics
J Sun, X Wang, X Yuan, Q Zhang, C Guan, AV Babanin
Remote Sensing | MDPI | Published : 2018
DOI: 10.3390/rs10111843
Abstract
Modeling the statistical distribution of synthetic aperture radar (SAR) images is essential for sea target detection, which is an important aspect of marine SAR applications. The main goal of this study is to determine the effects of sea states and surface wave texture characteristics on the statistical distributions of sea SAR images. A statistical analysis of the Envisat Advanced Synthetic Aperture Radar (ASAR) wave mode images (imagettes), covering a variety of sea states and wave conditions, was carried out to investigate the suitability of the statistical distributions often used in the literature for sea states parameters. The results revealed the variation in the distribution paramete..
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Awarded by National Science Foundation
Funding Acknowledgements
This research was funded by National Key Research and Development Program of China under grant number 2016YFC1401405, the National Science Foundation under grant number 41376010 and ARC Discovery grant number DP170100851.