Title :
A suitable distortion measure for the lossy compression of hyperspectral data
Author :
Ryan, M.J. ; Arnold, J.F.
Author_Institution :
Sch. of Electr. Eng., Australian Defence Force Acad., Campbell, ACT, Australia
Abstract :
Central to lossy compression is the use of a suitable distortion measure. This paper develops appropriate criteria for a remote sensing distortion measure and discusses suitable measures. One measure (the percentage maximum absolute distortion (PMAD) measure) is demonstrated to be suitable for application to remotely sensed images. Using this measure, we can achieve a seventeen fold compression without appreciable loss in classification accuracy
Keywords :
data compression; geophysical signal processing; image classification; image coding; remote sensing; PMAD; classification accuracy; distortion measure; hyperspectral data; lossy compression; percentage maximum absolute distortion; remote sensing; remotely sensed images; Australia; Distortion measurement; Humans; Hyperspectral imaging; Hyperspectral sensors; Image coding; Image reconstruction; Loss measurement; Pixel; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.703739
