Automatic Target Detection Using Wavelet Transform

被引：0
|
作者：
S. Arivazhagan
L. Ganesan
机构：
[1] Mepco Schlenk Engineering College,Department of Electronics and Communication Engineering
[2] Government College of Engineering,Department of Computer Science and Engineering
来源：
EURASIP Journal on Advances in Signal Processing | / 2004卷
关键词：
discrete wavelet transform; target detection; texture; wavelet cooccurrence features;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Automatic target recognition (ATR) involves processing images for detecting, classifying, and tracking targets embedded in a background scene. This paper presents an algorithm for detecting a specified set of target objects embedded in visual images for an ATR application. The developed algorithm employs a novel technique for automatically detecting man-made and non-man-made single, two, and multitargets from nontarget objects, located within a cluttered environment by evaluating nonoverlapping image blocks, where block-by-block comparison of wavelet cooccurrence feature is done. The results of the proposed algorithm are found to be satisfactory.
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