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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| Published in | IEEE geoscience and remote sensing letters Vol. 6; no. 3; pp. 471 - 475 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.07.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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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| AbstractList | 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. 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 [abstract truncated by publisher]. |
| Author | Silveira, M. Heleno, S. |
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| SubjectTerms | 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) |
| Title | Separation Between Water and Land in SAR Images Using Region-Based Level Sets |
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