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- W2019931704 abstract "An iterative optimization algorithm which can be used for speckle reduction and segmentation of synthetic aperture radar (SAR) images is presented here. This method contains as a first step a fast restoration and as a second one the segmentation. We have worked in 3-look simulated and real ERS-1 amplitude images. The iterative filter is based on a membrane model Markov random field (MRF) approximation optimized by a synchronous local iterative method (SLIM). The final form of restoration gives a total sum preserving regularization (TSPR)." @default.
- W2019931704 created "2016-06-24" @default.
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- W2019931704 date "2002-12-01" @default.
- W2019931704 modified "2023-10-03" @default.
- W2019931704 title "Fast segmentation method for SAR images" @default.
- W2019931704 doi "https://doi.org/10.1117/12.450351" @default.
- W2019931704 hasPublicationYear "2002" @default.
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