A Family of Distribution-Entropy MAP Speckle Filters for Polarimetric SAR Data, and for Single or Multi-Channel Detected and Complex SAR Images

Edmond Nezry, Francis Yakam-Simen · 2000

Five new Distribution-Entropy Maximum A Posteriori (DE MAP) speckle filters are established for the following cases: single detected, multilook multichannel detected, single look complex SAR images, separate complex looks, and fully polarimetric SAR data. As shown, these new filters are particularly efficient to reduce speckle noise, while preserving textural properties and spatial resolution, especially in strongly textured SAR images. Keywords: Speckle filtering, Maximum Entropy, Maximum A Posteriori filters, Complex SAR images, multi-temporal SAR data, multi-channel SAR data, Polarimetric SAR images. 1. DE-MAP SPECKLE FILTERING In the case of multi-channel detected SAR images, let define the vector quantities of interest: I is the speckled intensity vector available in the actual SAR data; R is the radar reflectivity vector which is the quantity we want to restore. The Maximum A Posteriori (MAP) filtering method bases on the famous Bayes' theorem: P(R/I) = P(I/R...

Read the paper · More papers on PaperTik