Because of the vast data volume of hyperspectral imagery, compression becomes a
necessary process for hyperspectral data transmission, storage, and analysis. Three …

Generalized likelihood ratio tests (GLRTs) are derived for the problem of detecting targets in
hyperspectral images. These detectors are derived under the assumptions that the signals …

Dimensionality Expansion (DE) is a mathematical technique to increase multispectral data
dimensionality in a nonlinear fashion so that standard hyperspectral linear methods can …

Endmember finding has received considerable interest in hyperspectral imaging. In reality
an endmember finding algorithm (EFA) suffers from endmember variability which causes …

Detection of subpixel endmember proportions in the realm of land cover and land cover
change mapping is imperative when considering new and innovative methods to improve …

Hydrocarbon (HC) spills are a global issue, which can seriously impact human life and the
environment, therefore early identification and remedial measures taken at an early stage …

This dissertation develops several new algorithms to solve existing problems in practical
application of the previously developed PCA+ JPEG2000, which has shown superior rate …

Remotely sensed images have been used in a broad range of applications ranging from
chemical/biological defense, geology, agriculture to environmental protection, law …

Hyperspectral imaging allows quantitative evaluation of material composition and spatial
distribution, and finds numerous applications in areas such as remote sensing and military …