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1998 | OriginalPaper | Chapter

Target Recognition

Authors : Thomas Lindblad, PhD, Jason M. Kinser, DSc

Published in: Image Processing using Pulse-Coupled Neural Networks

Publisher: Springer London

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Target recognition is the ability to find and delineate objects within an image. This is not an easy task for most applications. The targets can be presented in a variety of different views, rotations, scales, illumination, etc. Traditional target recognition methods have been successful only in limited cases and views. However, the three basic steps to Automatic Target Recognition or ATR are well known: (i) segment the image into regions, (ii) determine features in the image regions, and (iii) classify the regions by their features. Living creatures do this ail the time. Flies do it. Fish do it. Spiders do it, even little spiders. Yet it is still eluding researchers.

Metadata
Title
Target Recognition
Authors
Thomas Lindblad, PhD
Jason M. Kinser, DSc
Copyright Year
1998
Publisher
Springer London
DOI
https://doi.org/10.1007/978-1-4471-3617-0_5