Title :
System considerations for multispectral image compression designs
Author :
Vaughn, Val D. ; Wilkinson, T.S.
Author_Institution :
Aerosp. Corp., El Segundo, CA, USA
fDate :
1/1/1995 12:00:00 AM
Abstract :
Multispectral image (MSI) compression has evolved into a viable solution for band limited communications problems in current and future remote sensing systems. MSI compression technology continues to mature as research identifies the interaction of compression distortion and typical multispectral exploitation tasks. Understanding of both compression artifacts and exploitation techniques must proceed in parallel because sensitivity to errors (distortion) must be addressed for a much larger usage base. This article provides an introduction to the experience gained from the Advanced Land Remote Sensing System (ALRSS) compression development, and an insight into the challenges of MSI and space-based compression algorithm design. The ALRSS studies provide an initial look at the challenges of designing and evaluating MSI compression systems. The results of these studies have shown that compression rates between 2.2 and 1.3 bpp are viable and feasible for space-based applications today. MSI systems can be designed to include compression without changing the significance of the final image product
Keywords :
data compression; image coding; remote sensing; spectral analysis; ALRSS; Advanced Land Remote Sensing System; band limited communications; compression artifacts; compression distortion; compression rates; multispectral exploitation tasks; multispectral image compression; remote sensing systems; space-based applications; space-based compression algorithm design; Image coding; Image resolution; Monitoring; Multispectral imaging; NASA; Remote sensing; Resource management; Satellites; Spatial resolution; US Department of Defense;
Journal_Title :
Signal Processing Magazine, IEEE