Abstract

The GaoFen-3 (GF-3) satellite, launched on 10 August 2016, is the first C-band polarimetric synthetic aperture radar (PolSAR) satellite in China. The PolSAR system of GF-3 can collect a significant wealth of information for geophysical research and applications. Being used for related applications, GF-3 PolSAR images must be of good quality. It is necessary to evaluate the quality of polarimetric data and achieve the normalized quality monitoring during 8-year designed life of GF-3. In this study, a new quality assessment method of PolSAR data based on common distributed targets is proposed, and the performance of the method is analyzed by simulations and GF-3 experiments. We evaluate the quality of GF-3 PolSAR data by this method. Results suggest that GF-3 antenna is highly isolated, and the quality of calibrated data satisfies the requests of quantitative applications.

Highlights

  • polarimetric synthetic aperture radar (PolSAR) can obtain multidimensional data that describe polarization scattering information of targets

  • We propose a quality assessment method of PolSAR data based on common distributed targets

  • The effectiveness and anti-noise ability of the method are demonstrated by simulations and GF-3 experiments

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Summary

Introduction

PolSAR can obtain multidimensional data that describe polarization scattering information of targets. It has many important applications in target classification [1,2], target detection [3,4], biomass inversion [5,6] and so on. In August 2016, China launched its first PolSAR satellite—GF-3—which works at the C band and has 12 imaging modes with resolution up to 1 m [7,8]. All imaging modes of this satellite are available in either left- or right-looking orientation. The fully polarimetric mode provides data with swaths of at least 20 km and ground range resolutions of about

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