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Proceedings Paper

A three-stage approach to large-target acquisition in spectral images
Author(s): Eran Ohel; Stanley R. Rotman; Dan G. Blumberg
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Paper Abstract

Over the last few years, we have developed an algorithm which detects anomalous targets in hyperspectral or multispectral images. The algorithm takes a data (image) cube with a completely unknown background, segments the cube, assigns the largest clusters as background, and determines which pixels are anomalous to the background. In the work to be presented here, we will add two additional modules. First, since our present mission is to detect military targets in a fairly barren rural background, we use the SAVI (or NDVI) metric to detect items which appear to contain chlorophyll. In this way, we can eliminate objects which in retrospect were the right sizes and shapes but were in reality plants. Second, we have developed CFAR methods to achieve a Constant False Alarm Rate while giving us the maximum probability of detecting the targets. Actual data will be analyzed by the algorithm; the ability to both determine if a target is present and where its location is will be shown.

Paper Details

Date Published: 11 October 2005
PDF: 7 pages
Proc. SPIE 5987, Electro-Optical and Infrared Systems: Technology and Applications II, 59870U (11 October 2005); doi: 10.1117/12.629434
Show Author Affiliations
Eran Ohel, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Dan G. Blumberg, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 5987:
Electro-Optical and Infrared Systems: Technology and Applications II
Ronald G. Driggers; David A. Huckridge, Editor(s)

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