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

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...

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Main Authors: Junjun Yin, Jian Yang, Qingjun Zhang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/12/2785
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spelling doaj-d9b0e044b533443997529136b9e999cb2020-11-25T00:49:50ZengMDPI AGSensors1424-82202017-12-011712278510.3390/s17122785s17122785Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain ClassificationJunjun Yin0Jian Yang1Qingjun Zhang2The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaBeijing Institute of Space System Engineering, China Academy of Space Technology, Beijing 100086, ChinaOn 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.https://www.mdpi.com/1424-8220/17/12/2785GF-3 satelliteradar polarimetrysynthetic aperture radar (SAR)physical scattering mechanism
collection DOAJ
language English
format Article
sources DOAJ
author Junjun Yin
Jian Yang
Qingjun Zhang
spellingShingle Junjun Yin
Jian Yang
Qingjun Zhang
Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
Sensors
GF-3 satellite
radar polarimetry
synthetic aperture radar (SAR)
physical scattering mechanism
author_facet Junjun Yin
Jian Yang
Qingjun Zhang
author_sort Junjun Yin
title Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
title_short Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
title_full Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
title_fullStr Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
title_full_unstemmed Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification
title_sort assessment of gf-3 polarimetric sar data for physical scattering mechanism analysis and terrain classification
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-12-01
description 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.
topic GF-3 satellite
radar polarimetry
synthetic aperture radar (SAR)
physical scattering mechanism
url https://www.mdpi.com/1424-8220/17/12/2785
work_keys_str_mv AT junjunyin assessmentofgf3polarimetricsardataforphysicalscatteringmechanismanalysisandterrainclassification
AT jianyang assessmentofgf3polarimetricsardataforphysicalscatteringmechanismanalysisandterrainclassification
AT qingjunzhang assessmentofgf3polarimetricsardataforphysicalscatteringmechanismanalysisandterrainclassification
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