MULOG: A GENERIC VARIANCE-STABILIZATION APPROACH FOR SPECKLE REDUCTION IN SAR INTERFEROMETRY AND SAR POLARIMETRY
TUPIN, Florence
Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
Département Images, Données, Signal [IDS]
Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
Département Images, Données, Signal [IDS]
TUPIN, Florence
Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
Département Images, Données, Signal [IDS]
< Reduce
Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
Département Images, Données, Signal [IDS]
Language
en
Communication dans un congrès
This item was published in
IGARSS, IGARSS, IGARSS, 2018-07, Valencia. 2018-07
English Abstract
Speckle reduction is a long-standing topic in SAR data pro-cessing. Continuous progress made in the field of imagedenoising fuels the development of methods dedicated tospeckle in SAR images. Adaptation of a denoising ...Read more >
Speckle reduction is a long-standing topic in SAR data pro-cessing. Continuous progress made in the field of imagedenoising fuels the development of methods dedicated tospeckle in SAR images. Adaptation of a denoising techniqueto the specific statistical nature of speckle presents variablelevels of difficulty. It is well known that the logarithm trans-form maps the intrinsically multiplicative speckle into anadditive and stationary component, thereby paving the wayto the application of general-purpose image denoising meth-ods to SAR intensity images. Multi-channel SAR imagessuch as obtained in interferometric (InSAR) or polarimetric(PolSAR) configurations are much more challenging. Thispaper describes MuLoG, a generic approach for mappinga multi-channel SAR image into real-valued images withan additive speckle component that has a variance approxi-mately constant. With this approach, general-purpose imagedenoising algorithms can be readily applied to restore InSARor PolSAR data. In particular, we show how recent denois-ing methods based on deep convolutional neural networkslead to state-of-the art results when embedded with MuLoGframework.Read less <
English Keywords
SAR
speckle
interferometry
polarimetry
multiplicative noise
ANR Project
Analyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002
Origin
Hal imported