Pairwise orthogonal transform for spectral image coding

Producció científica: Contribució a revistaArticleRecercaAvaluat per experts

59 Cites (Scopus)

Resum

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.
Idioma originalAnglès
Número d’article5599290
Pàgines (de-a)961-972
RevistaIEEE Transactions on Geoscience and Remote Sensing
Volum49
Número3
DOIs
Estat de la publicacióPublicada - 1 de març 2011

Fingerprint

Navegar pels temes de recerca de 'Pairwise orthogonal transform for spectral image coding'. Junts formen un fingerprint únic.

Com citar-ho