Wavelet multiscale feature detection applied to foliage penetration in landsat images

被引：0
|
作者：
Jones, KJ [1 ]
机构：
[1] Rice Univ, Dept Math, Houston, TX 77005 USA
来源：
WAVELET AND INDEPENDENT COMPONENET ANALYSIS APPLICATIONS IX | 2002年 / 4738卷
关键词：
landsat; wavelet image processing; foliage penetration; multiscale feature detection;
D O I：
10.1117/12.458725
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Detecting man-made objects concealed in dense foliage is an ongoing challenge in military imaging. There is a need to detect, recognize and classify objects and background. Wavelet multiscale feature detection will be applied to Landsat images for the purpose of delineating man-made objects from foliage (or camouflage) which may be used to disguise them.
引用
收藏
页码：21 / 32
页数：12
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