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Proceedings Paper

IR/Lidar automatic object recognition system
Author(s): Yi-Tong Zhou; Demetrios Sapounas
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Paper Abstract

A biologically inspired neural network (BINN) system for IR/LADAR object recognition is presented in this paper. The BINN system uses a local spatial frequency-based method to locate potential targets in a scene image. The potential targets are separated from background using a modified CORT-X boundary segmentation method and target classification is carried out by a multilayer perceptron based on the local spatial frequency features extracted from both IR and LADAR images. Because of the local spatial frequency features, CORT- X boundary segmentation method, and rich training sets used, the BINN system is insensitive to target background, brightness, contrast level, contrast reversal, and geometry relative to the sensor. The BINN system has been successfully tested on hundreds of pairs of real IR/LADAR images that contain multiple examples of military vehicles with different size and brightness/range in various background scenes and orientations.

Paper Details

Date Published: 23 June 1997
PDF: 10 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277096
Show Author Affiliations
Yi-Tong Zhou, HNC Software Inc. (United States)
Demetrios Sapounas, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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