Water/land segmentation in SAR images using level sets

Author

Silveira, Margarida ; Heleno, Sandra

Author_Institution

Inst. Super. Tecnico, Lisboa

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1896

Lastpage

1899

Abstract

This paper presents a method for the separation between land and water in SAR amplitude images. The proposed technique uses region based level sets and adopts a mixture of log-normal densities as the probabilistic model for the pixel intensities in both the water and the land regions. The expectation-maximization (EM) algorithm is used to estimate the probability density functions in each region. Experimental results with real SAR data are provided to illustrate the performance of the proposed algorithm.

Keywords

expectation-maximisation algorithm; image segmentation; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR amplitude images; expectation-maximization algorithm; log-normal densities; probability density functions; region based level sets; water-land segmentation; Adaptive optics; Floods; Image edge detection; Image segmentation; Level set; Optical filters; Optical scattering; Optical surface waves; Probability density function; Synthetic aperture radar; Synthetic aperture radar; image segmentation; level set methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712150

Filename

4712150