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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| Format: | Article |
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MDPI AG
2017-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/12/2785 |
| _version_ | 1798034408832237568 |
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| author | Junjun Yin Jian Yang Qingjun Zhang |
| author_facet | Junjun Yin Jian Yang Qingjun Zhang |
| author_sort | Junjun Yin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T20:43:55Z |
| format | Article |
| id | doaj.art-d9b0e044b533443997529136b9e999cb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:43:55Z |
| publishDate | 2017-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d9b0e044b533443997529136b9e999cb2022-12-22T04:04:07ZengMDPI 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 |
| 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 |
| title | 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_short | 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 |
| topic | GF-3 satellite radar polarimetry synthetic aperture radar (SAR) physical scattering mechanism |
| url | https://www.mdpi.com/1424-8220/17/12/2785 |
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