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Automatic Target Recognition and Classification in Aerial Photography

Author(s): Kayvan Najarian, Robert DeMott II and Jeremy Cooper

Journal: International Journal of Systems Signal Control and Engineering Applications
ISSN 1997-5422

Volume: 1;
Issue: 1;
Start page: 1;
Date: 2008;
Original page

Keywords: Target recognition | circle detection | gerometric hashing algorithm

The use of multiple shape recognition techniques for target recognition and classification are explored and compared. An overview into the methods used to isolate the targets and remove background clutter is also included. The primary method used for shape detection was a version of geometric hashing, used in combination with a specialized corner detection method and a circle detection method. The corner detection method described obtained better results at finding corners in the black and white outlined images than several other compared methods. The geometric hashing algorithm implemented with a weighted-neighbourhood, performed better than the alternative methods compared.
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