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 …

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 …

This study investigates the use of thematic class correspondence in the fusion of
hyperspectral data with higher spatial resolution synthetic aperture radar (SAR) data. A …

This paper describes a contrast-based monochromatic fusion process. The fusion process is
aimed for on board real time the information content in the combined image, while retaining …

In recent years, several image fusion techniques have been proposed to cater to various
objectives. An appropriate visualization of the data is one of the key objectives of image …

In remote sensing applications, lower spatial resolution multispectral images are fused with
higher spatial resolution panchromatic ones. The objective of this fusion process is to …

Generally, image fusion methods are classified into three levels: pixel level (iconic), feature
level (symbolic) and knowledge or decision level. In this paper we focus on iconic …

Image fusion plays an important role in improving high resolution remote sensing images, as
many Earth observation satellites provide both high-resolution panchromatic and …

The increasing availability and deployment of imaging sensors operating in multiple spectral
bands has led to a large research effort in image fusion, resulting in a plethora of pixel-level …