PolInSAR Statistical Analysis and Coherence Optimization Using Fractional Lower Order Statistics

Autor:	Bryan Mercer, Yong Bian
Rok vydání:	2010
Předmět:	Synthetic aperture radar Interferometry L band Estimation theory Stochastic process Statistics Coherence (signal processing) Probability distribution Statistical model Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology Mathematics
Zdroj:	IEEE Geoscience and Remote Sensing Letters. 7:314-318
ISSN:	1558-0571 1545-598X
DOI:	10.1109/lgrs.2009.2034275
Popis:	In this letter, the polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) statistical model is studied using the alpha-stable distribution. Based on this model, a vector coherence formulation using fractional lower order statistics is proposed. This vector coherence is the generalization of the vector coherence in the paper of Cloude and Papathanassiou when the PolInSAR data are non-Gaussian and conform to the symmetrical form of the alpha-stable distribution. The standard coherence optimization method in the aforementioned paper is modified based on this generalized vector coherence. Results were demonstrated using a small L-band PolInSAR data set and suggest that this proposed coherence optimization method reduces artifacts in the optimized phases in certain areas.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5c431e3aa2d5c8afde2d9018d58ce60a https://doi.org/10.1109/lgrs.2009.2034275 Zobrazit plný text záznamu