Hyperspectral image (HSI) classification is one of the most important remote sensing
techniques. Currently, the performances of most of the HSI classification networks on the …

Three hierarchical multiresolution image fusion techniques are implemented and tested
using image data from the Airborne Visual/Infrared Imaging Spectrometer (AVIRIS) …

Spectroradiometer data (350–2500 nm) were acquired in late summer 1999 over various
forest sites in Appomattox Buckingham State Forest, Virginia, to assess the spectral …

Hyperspectral images have been used in agricultural and geoscience studies since the
1980s, mostly from a satellite or aerial platform.(Rinker 1990) The benefit of hyperspectral …

Department of Ecology required a wetland m itoring and loss mitigation program to be in
place before penntige herbicide Surface areas of floating-leaved, emergent, and scrub …

Detection and recognition are two primary tasks of hyperspectral imaging, with the objective
of detecting and identifying materials remotely. Frequently these are done separately, with …

Modern imaging sensors produce vast amounts of data, overwhelming human analysts. One
such sensor is the Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) …

The utility of hyperspectral imagers for the identification, classification and status of a specific
material based on its spectral characteristics has been demonstrated in the fields of geology …

Abstract Development of new imaging sensors has created a need for image processing
techniques that can fuse images from different sensors or multiple images produced by the …

Remotely sensed data produced by hyperspectral imagers contains hundreds of contiguous
narrow spectral bands at each spatial pixel. The substantial dimensionality and unique …