Comparative Performance Between Compressed and Uncompressed Airborne Imagery
The US Army's RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD), Countermine Division is evaluating the compressibility of airborne multi-spectral imagery for mine and minefield detection application. Of particular interest is to assess the highest image data compression rate that can be afforded without the loss of image quality for war fighters in the loop and performance of near real time mine detection algorithm. The JPEG-2000 compression standard is used to perform data compression. Both lossless and lossy compressions are considered. A multi-spectral anomaly detector such as RX (Reed & Xiaoli), which is widely used as a core algorithm baseline in airborne mine and minefield detection on different mine types, minefields, and terrains to identify potential individual targets, is used to compare the mine detection performance. This paper presents the compression scheme and compares detection performance results between compressed and uncompressed imagery for various level of compressions. The compression efficiency is evaluated and its dependence upon different backgrounds and other factors are documented and presented using multi-spectral data.
C. Phan et al., "Comparative Performance Between Compressed and Uncompressed Airborne Imagery," Proceedings of the Society of Photo-Optical Instrumentation Engineers, SPIE, Jan 2008.
The definitive version is available at https://doi.org/10.1117/12.782360
Electrical and Computer Engineering
Keywords and Phrases
Multi-Spectral Imagery; Image compression; Mine detection (Military explosives)
Article - Conference proceedings
© 2008 SPIE, All rights reserved.
01 Jan 2008