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

A perceptual-based multiresolution image fusion technique is demonstrated using the
Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) hyperspectral sensor data. The …

Hyperspectral (HS) images usually have high spectral resolution and low spatial resolution
(LSR). However, multispectral (MS) images have high spatial resolution (HSR) and low …

The maintenance of spectral variability between subclass objects and the relationship
between hyperspectral (HS) bands have been a fundamental but challenging problem for …

Hyperspectral imaging has been rapidly developing over the past decade, and modern
sensor technologies can cover large areas with exceptional spatial, spectral, and temporal …

The volume of data grows with the advent of multiple types of remote sensing sensors and in
order to extract the most useful information there is a need to combine the data gathered …

Hyperspectral images (HSIs) usually have high spectral and low spatial resolution.
Conversely, multispectral images (MSIs) usually have low spectral and high spatial …

Fusing low spatial resolution hyperspectral (LRHS) images and high spatial resolution
multispectral (HRMS) images to obtain high spatial resolution hyperspectral images (HRHS) …

Hyperspectral image fusion is a key technique of hyperspectral data processing. In recent
years, many fusion methods have been proposed, but there is little work concerning …

Fusing hyperspectral image (HSI) and multispectral image (MSI) of high spatial resolution is
typically utilized to obtain HSIs of high spatial resolution. However, the spatial quality of most …