Automatic Target Detection Using Wavelet Transform
نویسندگان
چکیده
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-manmade 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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عنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2004 شماره
صفحات -
تاریخ انتشار 2004