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Automatic Target Detection Using Wavelet Transform

Abstract

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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Correspondence to S. Arivazhagan.

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Arivazhagan, S., Ganesan, L. Automatic Target Detection Using Wavelet Transform. EURASIP J. Adv. Signal Process. 2004, 853290 (2004). https://doi.org/10.1155/S1110865704408208

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Keywords and phrases

  • discrete wavelet transform
  • target detection
  • texture
  • wavelet cooccurrence features