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Sensors 2017, 17(12), 2785; https://doi.org/10.3390/s17122785

Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification

1
The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
3
Beijing Institute of Space System Engineering, China Academy of Space Technology, Beijing 100086, China
*
Author to whom correspondence should be addressed.
Received: 11 October 2017 / Revised: 14 November 2017 / Accepted: 27 November 2017 / Published: 1 December 2017
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
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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. 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 observations. In this paper, focusing on target scattering characterization and feature extraction, we generalize the Δ α B / α B method, which was proposed under the reflection symmetric assumption, for the general backscatter process to account for both the reflection symmetry and asymmetry cases. Then, we evaluate the performances of physical scattering mechanism analysis methods for GF-3 polarimetric SAR imagery. Radarsat-2 data acquired over the same area is used for cross validation. Results show that GF-3 polarimetric SAR data has great potential for target characterization, especially for ocean area observation. View Full-Text
Keywords: GF-3 satellite; radar polarimetry; synthetic aperture radar (SAR); physical scattering mechanism GF-3 satellite; radar polarimetry; synthetic aperture radar (SAR); physical scattering mechanism
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Yin, J.; Yang, J.; Zhang, Q. Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification. Sensors 2017, 17, 2785.

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