Remote Sensing Image Change Saliency Detection Technology

被引:5
|
作者
Yang, Shuai [1 ]
Zhao, Xi'an [1 ]
机构
[1] Beijing Univ Civil Engn & Architecture, Surveying & Mapping Engn, Sch Geomat & Urban Spatial Informat, Key Lab Urban Geomat,Natl Adm Surveying Mapping &, Beijing, Peoples R China
关键词
VISUAL-ATTENTION; SHIFTS;
D O I
10.1088/1742-6596/1069/1/012110
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
High resolution remote sensing image target change detection technology has been widely used, and the traditional remote sensing change detection technology can not meet the requirements of high precision change detection. This paper proposes that visual saliency technology can be used for remote sensing change detection to improve the accuracy and reliability of image target change detection. First, two remote sensing images of different time are obtained, and the visual interesting region of the images are obtained by visual saliency detection. Then the difference between the region of interest is calculated, and finally binaryzation is used to get the clear changing region image, which can effectively improve the detection accuracy.
引用
收藏
页数:8
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