Separation Between Water and Land in SAR Images Using Region-Based Level Sets

This letter presents a method for the separation between land and water in synthetic aperture radar (SAR) amplitude images. The proposed technique uses region-based level sets and adopts a mixture of lognormal densities as the probabilistic model for the pixel intensities in both water and land clas...

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Bibliographic Details
Published inIEEE geoscience and remote sensing letters Vol. 6; no. 3; pp. 471 - 475
Main Authors Silveira, M., Heleno, S.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.07.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Coastline extraction
Density
flood mapping
Floods
Freshwater
Ice
Image classification
Image edge detection
Land
Level set
level set methods
Optical scattering
Radar imaging
Separation
Spaceborne radar
Speckle
State of the art
Synthetic aperture radar
synthetic aperture radar (SAR)
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Summary:This letter presents a method for the separation between land and water in synthetic aperture radar (SAR) amplitude images. The proposed technique uses region-based level sets and adopts a mixture of lognormal densities as the probabilistic model for the pixel intensities in both water and land classes. The expectation-maximization algorithm is used to estimate the probability density functions for each class. Experimental results with real SAR images of riverbeds, flood extent areas, and shorelines demonstrate the good performance of the proposed algorithm compared with state-of-the-art approaches.
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ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2009.2017283