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Proceedings Paper

Compression for small targets in multispectral imagery
Author(s): Yee Louise Law; Frank J. Crosby; Quyen Q. Huynh; Truong Q. Nguyen
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Paper Abstract

This paper analyzes the performance of a fast, low complexity, integer-to-integer compression scheme that is designed to give greater importance to small targets. Practical real-time operation of unmanned aerial vehicle mine/minefield detection systems has two difficult constraints. One is limited data-link bandwidth and the other is limited on-board processing power. Standard compression techniques are usually complex and tend to remove small objects from the imagery. In the imagery used for airborne mine/minefield detection, the targets are small, usually on the order of a few pixels. The region-of-interest (ROI) Wavelet Difference Reduction (WDR) compression scheme satisfies both of these con-straints and is shown to preserve detection rates of small targets. Results are compared for block-based (BB)-WDR compressed and ROI-WDR compressed and uncompressed images. The ROI -WDR process is shown to be superior to other compression conditions.

Paper Details

Date Published: 21 September 2004
PDF: 8 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.562762
Show Author Affiliations
Yee Louise Law, Univ. of California/San Diego (United States)
Frank J. Crosby, Naval Surface Warfare Ctr./Panama City (United States)
Quyen Q. Huynh, Naval Surface Warfare Ctr./Panama City (United States)
Truong Q. Nguyen, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

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