Speckle filtering of polarimetric SAR interferometry data based on classification

doi:10.7523/j.issn.2095-6134.2012.5.009

Abstract

Abstract: A speckle filter for polarimetric synthetic aperture radar interferometry data is proposed. By using the unsupervised classification method which combines optimal polarimetric interference coherence with Freeman-Durden decomposition and by selecting the pixels belonging to the same classification as the central pixel and having simiar interferometric phase to the center pixel, the filter can suppress speckle noise well while protect data polarization information and interference information. ESAR data are used in experiment.

Key words: synthetic aperture radar, speckle filter, optimal coherence

CLC Number:

TN957.52

QI Wen-Lu, LI Yang, WANG Peng, HONG Wen. Speckle filtering of polarimetric SAR interferometry data based on classification[J]. , 2012, 29(5): 636-643.

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