TY - JOUR
T1 - Pairwise orthogonal transform for spectral image coding
AU - Blanes, Ian
AU - Serra-Sagrista, Joan
PY - 2011/3/1
Y1 - 2011/3/1
N2 - Spectral transforms are widely used for the codification of remote-sensing imagery, with the KarhunenLove transform (KLT) and wavelets being the two most common transforms. The KLT presents a higher coding performance than the wavelets. However, it also carries several disadvantages: high computational cost and memory requirements, difficult implementation, and lack of scalability. In this paper, we introduce a novel transform based on the KLT, which, while obtaining a better coding performance than the wavelets, does not have the mentioned disadvantages of the KLT. Due to its very small amount of side information, the transform can be applied in a line-based scheme, which particularly reduces the transform memory requirements. Extensive experimental results are conducted for the Airborne Visible/Infrared Imaging Spectrometer and Hyperion images, both for lossy and lossless and in combination with various hyperspectral coders. The results of the effects on Reed Xiaoli anomaly detection and k-means clustering are also included. The theoretical and experimental evidences suggest that the proposed transform might be a good replacement for the wavelets as a spectral decorrelator in many of the situations where the KLT is not a suitable option. © 2006 IEEE.
AB - Spectral transforms are widely used for the codification of remote-sensing imagery, with the KarhunenLove transform (KLT) and wavelets being the two most common transforms. The KLT presents a higher coding performance than the wavelets. However, it also carries several disadvantages: high computational cost and memory requirements, difficult implementation, and lack of scalability. In this paper, we introduce a novel transform based on the KLT, which, while obtaining a better coding performance than the wavelets, does not have the mentioned disadvantages of the KLT. Due to its very small amount of side information, the transform can be applied in a line-based scheme, which particularly reduces the transform memory requirements. Extensive experimental results are conducted for the Airborne Visible/Infrared Imaging Spectrometer and Hyperion images, both for lossy and lossless and in combination with various hyperspectral coders. The results of the effects on Reed Xiaoli anomaly detection and k-means clustering are also included. The theoretical and experimental evidences suggest that the proposed transform might be a good replacement for the wavelets as a spectral decorrelator in many of the situations where the KLT is not a suitable option. © 2006 IEEE.
KW - Embedded systems
KW - Hyperspectral image coding
KW - KarhuneLove transform (KLT)
KW - Memory-constrained environments
KW - Progressive lossy-to-lossless (PLL) and lossy compression
U2 - 10.1109/TGRS.2010.2071880
DO - 10.1109/TGRS.2010.2071880
M3 - Article
SN - 0196-2892
VL - 49
SP - 961
EP - 972
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 3
M1 - 5599290
ER -