Coastline detection by a Markovian segmentation on SAR images

被引:66
|
作者
Descombes, X [1 ]
Moctezuma, M [1 ]
Maitre, H [1 ]
Rudant, JP [1 ]
机构
[1] ECOLE NATL SUPER TELECOMMUN BRETAGNE,DEPT IMAGES,F-75634 PARIS 13,FRANCE
关键词
SAR images segmentation; hierarchical approach; holes topology;
D O I
10.1016/S0165-1684(96)00125-9
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a new method for extracting coastline in SAR images. It proposes a hierarchical approach using two Markov Random Fields (MRFs). At coarse resolution an MRF on a holes topology reduces the drawbacks affecting classical approaches (i.e., over-segmentations). The initial segmentation is then projected onto the full resolution image and a second classification is achieved using an ising model. Applications on ERS-1 SAR images demonstrate the performance of the method.
引用
收藏
页码:123 / 132
页数:10
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