WATER/LAND SEGMENTATION IN SAR IMAGES USING LEVEL SETS

被引：10
|
作者：
Silveira, Margarida [1 ]
Heleno, Sandra [1 ]
机构：
[1] Univ Tecn Lisboa, Inst Super Tecn, P-1049001 Lisbon, Portugal
来源：
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
关键词：
Synthetic aperture radar; image segmentation; level set methods;
D O I：
10.1109/ICIP.2008.4712150
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1896 / 1899
页数：4
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