Due to significantly improved spectral resolution produced by hyperspectral sensors, the
band-to-band correlation is generally very high and can be removed without loss of crucial …

The problem of input noise affecting the subpixel classification is examined in order to
assess its relationship with the output noise. The approach followed in this study was to …

6. Conclusions This chapter investigates the applicability of direct application of 3D
compression techniques to hyperspectral imagery and develops PCA-based spectral/spatial …

© 2000, IS&T—The Society for Imaging Science and Technology along with their respective
concentrations in that pixel's footprint. The technique used to assign these labels and …

Hyperspectral image compression has become increasingly important in data exploitation
because of enormous data volumes and high redundancy provided by hundreds of …

The region of interest (ROI) coding feature of JPEG 2000 image compression standard is
extended to multispectral imagery. This is accomplished by enabling ROI capability of JPEG …

A joint classification-compression scheme that provides the user with added capability to
prioritize classes of interest in the compression process is proposed. The dual compression …

In general the quality of the final product obtained from the data depends on the precision of
the original data as well as the accuracy of the relevant exploitation algorithm. Lossy …

The impact of lossy compression on the classification of the remotely-sensed imagery data is
examined. The impact of compression is assessed for both types of classifications, ie …

In this paper, we investigate the performance of an objective video quality assessment
method using the wavelet transform for a large data set. The objective video quality …