EXPLORING NOVEL SCATTERING INFORMATION FROM POLARIMETRIC SAR DATA

被引:0
|
作者
Bhattacharya, Avik [1 ]
Verma, Abhinav [1 ]
Dey, Subhadip [2 ]
Frery, Alejandro C. [3 ]
Marino, Armando [4 ]
机构
[1] Indian Inst Technol, Microwave Remote Sensing Lab MRSLab, Mumbai, Maharashtra, India
[2] Indian Inst Technol Kharagpur, Dept Agr & Food Engn, Kharagpur, W Bengal, India
[3] Victoria Univ Wellington, Sch Math & Stat, Wellington, New Zealand
[4] Univ Stirling, Dept Biol & Environm Sci, Stirling, Scotland
来源
IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024 | 2024年
关键词
Polarimetry; scattering-type; scattering asymmetry; scattering purity; scattering complexity; DECOMPOSITION;
D O I
10.1109/IGARSS53475.2024.10642009
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This paper explores four distinct target descriptors derived from full-polarimetric Synthetic Aperture Radar (SAR) data. Initially, we define a 2 x 1 real positive target vector by leveraging the mean and standard deviation of complex eigenvalues extracted from the 2 x 2 Sinclair matrix. This vector is the basis for two innovative parameters: 1) the scattering-type parameter, and 2) the scattering asymmetry parameter. Furthermore, we introduce the scattering purity and complexity parameters derived from the mean and standard deviation of the real positive eigenvalues of a Hermitian positive semi-definite 3 x 3 coherency (covariance) matrix. We highlight the efficacy of these parameters by conducting an experimental analysis with several canonical targets. Subsequently, we investigate their performance by thoroughly examining Radarsat-2 full-polarimetric SAR data.
引用
收藏
页码:2781 / 2784
页数:4
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