Compression for small targets in multispectral imagery

Yee Louise Law; Frank J. Crosby; Quyen Q. Huynh; Truong Q. Nguyen

doi:10.1117/12.562762

21 September 2004 Compression for small targets in multispectral imagery

Yee Louise Law, Frank J. Crosby, Quyen Q. Huynh, Truong Q. Nguyen

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.562762
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Yee Louise Law, Frank J. Crosby, Quyen Q. Huynh, and Truong Q. Nguyen "Compression for small targets in multispectral imagery", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.562762

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