Title :
Infornation Content Analysis of Landsat Image Data for Compression
Author :
Chen, Thomas M. ; Staelin, David H. ; Arps, Ronald B.
Author_Institution :
Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720
fDate :
7/1/1987 12:00:00 AM
Abstract :
This paper investigates information-preserving compressionof Landsat image data based on an entropy study. Measurementsof the statistical information in actual Landsat-4 images indicate a 3 : 1compression ratio can be achieved with a simple real-time compressionscheme.
Keywords :
Data compression; Entropy; Image analysis; Image coding; Information theory; Pixel; Pulse modulation; Remote monitoring; Remote sensing; Satellites;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.1987.289862
