Title :
Accessing portions of losslessly compressed multiband data
Author :
Remus, M. ; Sayood, Khalid
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
Abstract :
Addresses the problem of accessing portions of multiband data which has been losslessly compressed. An approach that uses the fractal property of some well known space filling curves to provide access to portions of a losslessly compressed data set is described. This approach reduces the average amount of decompression necessary to access any portion of the data set, thereby reducing the amount of time required to access the compressed data. Various tradeoffs exist which will be discussed with practical examples
Keywords :
data compression; decoding; geophysical signal processing; geophysical techniques; geophysics computing; image coding; infrared imaging; remote sensing; Hilbert scan pattern; access speed; accessing portions; decompression; fractal; geophysical measurement technique; image coding; image processing; lossless data compression; losslessly compressed multiband data; multispectral; optical imaging; remote sensing; satellite imagery; space filling curve; visible IR infrared; Books; Decoding; Dictionaries; Encoding; Filling; Information retrieval; Libraries; Partitioning algorithms; Predictive coding; Testing;
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.1994.399117
