Hyperspectral Unmixing from Incomplete and Noisy Data

Hyperspectral Unmixing from Incomplete and Noisy Data

In hyperspectral images, once the pure spectra of the materials are known, hyperspectral unmixing seeks to find their relative abundances throughout the scene. We present a novel variational model for hyperspectral unmixing from incomplete noisy data, which combines a spatial regularity prior with the knowledge of the pure spectra. The material abundances are found by minimizing the resulting c...

Unmixing Hyperspectral Data

In hyperspectral imagery one pixel typically consists of a mixture of the re ectance spectra of several materials, where the mixture coe cients correspond to the abundances of the constituting materials. We assume linear combinations of re ectance spectra with some additive normal sensor noise and derive a probabilistic MAP framework for analyzing hyperspectral data. As the material reectance c...

Image Reconstruction from Incomplete Data

Unmixing of Aviris Hyperspectral Data from Dixie Valley, Nevada

The high temperature hydrothermal convection system underlying northwestern Dixie Valley, Nevada, is probably responsible for the development of certain geobotanical anomalies in the area. A large “die-off’ of Bailey’s greasewood (Sarcobatus baileyi) has been observed over the last several months and appears to be related to activity that preceded the appearance of a new fumarole. AVIRIS (Advan...

Image Reconstruction from Incomplete Data