TY - CHAP
T1 - Compression of hyperspectral images using significant pixel information of wavelet transforms
AU - Lee, Sangwook
AU - Sagrista, Joan Serra
AU - Lee, Chulhee
PY - 2006
Y1 - 2006
N2 - In this paper, we propose a compression algorithm for hyperspectral images based on the wavelet transform using adjacent information. A characteristic of the SPIHT algorithm is that it provides information on the locations of significant coefficients of transformed images. On the other hand, there exist high correlation between spectral band images of hyperspectral data. Thus, by using the location information of significant pixels, it is possible to efficiently compress adjacent band images by allocating all available bits to encode the magnitudes of significant pixels. However, some significant pixels would be inevitably missed, resulting in noticeable errors. In this paper, we propose to encode these missed significant pixels to improve coding efficiency. Experiments suggest that taking care of missed significant pixels provides improved performance.
AB - In this paper, we propose a compression algorithm for hyperspectral images based on the wavelet transform using adjacent information. A characteristic of the SPIHT algorithm is that it provides information on the locations of significant coefficients of transformed images. On the other hand, there exist high correlation between spectral band images of hyperspectral data. Thus, by using the location information of significant pixels, it is possible to efficiently compress adjacent band images by allocating all available bits to encode the magnitudes of significant pixels. However, some significant pixels would be inevitably missed, resulting in noticeable errors. In this paper, we propose to encode these missed significant pixels to improve coding efficiency. Experiments suggest that taking care of missed significant pixels provides improved performance.
UR - http://www.scopus.com/inward/record.url?scp=34948836322&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2006.910
DO - 10.1109/IGARSS.2006.910
M3 - Chapter
AN - SCOPUS:34948836322
SN - 0780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3532
EP - 3535
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
ER -