Abstract

On 10 August 2016 China launched the GF-3, its first C-band polarimetric synthetic aperture radar (SAR) satellite, which was put into operation at the end of January, 2017. The GF-3 polarimetric SAR has many advantages such as high resolution and multi-polarization imaging capabilities. Polarimetric SAR can fully characterize the backscatter property of targets, and thus it is of great interest to explore the physical scattering mechanisms of terrain types, which is very important in interpreting polarimetric SAR imagery and for its further usages in Earth observation. Both Radarsat-2 and Gaofen-3 satellites operate in C-band and are designed for similar missions. In this study, we compare the performances of fully polarimetric Gaofen-3 and Radarsat-2 data in representation of terrain types. By using several classic polarimetric features and the iterative Wishart-distribution based classifier, Gaofen-3 and Radarsat-2 data are compared in the aspects of polarimetric property preservation and capability of terrain classification.

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