Building Extraction from High Resolution SAR Imagery in Urban Areas

被引：3
|
作者：
Dong Yansheng [1 ,3 ]
Chen Hongping [2 ]
Yu Deyong [3 ]
Pan Yanzhong [3 ]
Zhang Jingshui [3 ]
机构：
[1] Beijing Res Ctr Informat Technol Agr, 11 Middle Shuguanghuayuan Rd, Beijing 100097, Peoples R China
[2] Chinese Acad Sci, Inst Atmosphere Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China
[3] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
来源：
GEO-SPATIAL INFORMATION SCIENCE | 2011年 / 14卷 / 03期
关键词：
building detection; high-resolution SAR; texture; urban remote sensing;
D O I：
10.1007/s11806-011-0525-9
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, the textural characteristics of the buildings were quantified by using two texture descriptors, namely, Square Root Pair Difference (SRPD) and Gi*. Then, a novel method, based on SRPD and Gi*, to extract building areas in urban areas from very high resolution SAR images is presented. The results showed that this method has the ability to differentiate buildings from the complicated features in urban areas, which can be employed for land mapping and provides support for relief operations.
引用
收藏
页码：164 / 168
页数：5
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