Title :
Spatial and spectral decorrelation of lossless data compression for LANDSAT-TM imagery
Author :
TANG, Shouwen ; Wang, Jinfei ; Zhang, Kaizhong
Author_Institution :
Dept. of Comput. Sci., Beijing Comput. Inst., China
Abstract :
Presents a spatial and spectral decorrelation scheme for lossless data compression of remotely sensed imagery. The statistical properties of Landsat-TM data are investigated. Measurements of the statistical information indicate that some bands have strong spectral correlation which can be used for interband prediction or spectral decorrelation; whereas other bands may be most suitable for spatial decorrelation within single band. Experiments show that data compression has been improved using both spatial and spectral nature of the remotely sensed data
Keywords :
data compression; geophysical signal processing; geophysical techniques; image coding; image colour analysis; infrared imaging; remote sensing; LANDSAT-TM imagery; Thematic Mapper; geophysical measurement technique; image coding; interband prediction; land surface; lossless data compression; multispectral remote sensing; optical imaging; spatial decorrelation; spectral decorrelation; visible IR infrared; Compression algorithms; Computer science; Data compression; Decorrelation; Entropy; Image coding; Least squares methods; Multispectral imaging; Remote sensing; Satellites;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399119
