A 2-DIMENSIONAL SEGMENTATION ALGORITHM FOR SAR IMAGES

被引：5

作者：

DELVES, LM ^{[1
]}

MCQUILLAN, RT ^{[1
]}

WILKINSON, R ^{[1
]}

SANDYSRENTON, JBE ^{[1
]}

OLIVER, CJ ^{[1
]}

机构：

[1] ROYAL SIGNALS & RADAR ESTAB,MALVERN WR14 3PS,WORCS,ENGLAND

来源：

INVERSE PROBLEMS | 1991年 / 7卷 / 02期

关键词：

D O I：

10.1088/0266-5611/7/2/005

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The despeckling and segmentation algorithm described by the authors, is extended in this paper to two-dimensional images. The method is based upon a least-squares fit of the data to a 'cartoon' model designed to retain the necessary segmentation information within a noise-free framework; we describe both the construction of the cartoon, and efficient techniques for implementing the least-squares fitting procedure. Results suggest that this approach has considerable promise for segmenting complex images.

引用

页码：203 / 220

页数：18

共 8 条

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