Statistical modeling of a joint metric of SAR interferogram's magnitude and phase using Fisher distribution for texture

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Qin, Xianxiang^1 ; Zhou, Shilin^1 ; Zou, Huanxin^1 ; Gao, Gui^1

School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China^1

关键词: High resolution;    Interferometric SAR;    Inverse gamma distribution;    Mellin transform;    Parameter estimators;    Product modeling;    Statistical modeling;    Textural components;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012248/pdf
DOI  :  10.1088/1755-1315/17/1/012248

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, aiming at the precise description of a recently proposed joint metric of SAR interferogram's magnitude and phase (IMP), especially for high resolution interferometric SAR images, a novel distribution denoted as S1distribution is proposed. At first, under the framework of product model, the Fisher distribution is introduced for modeling the textural component and the closed-form PDF of the novel distribution is presented. The proposed distribution generalizes the existing S0distribution which models the textural component by the inverse gamma distribution. Then, based on the Mellin transform, a parameter estimator of the proposed model is derived. Finally, the experimental results on real data have validated the efficiency of the proposed distribution and the parameter estimation.