TY - GEN
T1 - A novel scheme for the compression and classification of hyperspectral images
AU - Xie, Bei
AU - Bose, Tamal
AU - Merényi, Erzsébet
PY - 2009
Y1 - 2009
N2 - Since hyperspectral images are very large, it is desirable to compress them before transmission. After receiving the compressed image, decompression is applied before performing image classification and other operations. In this paper, a new processing scheme is proposed, where image transform and quantization are applied for image compression at the transmitter and classification is performed directly on the compressed data at the receiver. The advantage of this scheme is that fewer computations are needed. Computer simulations are performed on hyperspectral imagery.
AB - Since hyperspectral images are very large, it is desirable to compress them before transmission. After receiving the compressed image, decompression is applied before performing image classification and other operations. In this paper, a new processing scheme is proposed, where image transform and quantization are applied for image compression at the transmitter and classification is performed directly on the compressed data at the receiver. The advantage of this scheme is that fewer computations are needed. Computer simulations are performed on hyperspectral imagery.
KW - Hyperspectral imagery
KW - Image classification
KW - Lossy data compression
KW - Neural network
UR - http://www.scopus.com/inward/record.url?scp=72049130299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72049130299&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS.2009.5289075
DO - 10.1109/WHISPERS.2009.5289075
M3 - Conference contribution
AN - SCOPUS:72049130299
SN - 9781424446872
T3 - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
BT - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing
T2 - WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
Y2 - 26 August 2009 through 28 August 2009
ER -