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Proceedings Paper

Multispectra infrared sequential image processing for point target detection
Author(s): George A. Lampropoulos; James F. Boulter
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Paper Abstract

In this paper, we study the effects of orthogonalization on sequential, multisensor, and multispectral satellite images for CFAR point target detection incorporting fusion techniques. Although the K-L orthogonalization offers the best CFAR detection performance, it requires central fusion. A version of the G-S orthogonalization method, which preprocesses data in a pipeline form, offers a comparable CFAR detection to that of the K-L method. Point target CFAR detection is carried out by employing various fusion approaches on the orthogonal data. Sensor level fusion with quality information is shown to be preferable when the proposed sequential G-S orhtogonaltization is applied. The proposed CFAR approach is applied to dissimilar sensors and avoids overloading the communication channel transmitting only in the case of target detection. Trade-off studies and experimental results on real and simulated data are presented.

Paper Details

Date Published: 29 September 1995
PDF: 13 pages
Proc. SPIE 2553, Infrared Spaceborne Remote Sensing III, (29 September 1995); doi: 10.1117/12.221353
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals, Ltd. (Canada)
James F. Boulter, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 2553:
Infrared Spaceborne Remote Sensing III
Marija Strojnik; Bjorn F. Andresen, Editor(s)

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