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Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this...
In this paper, several classification methods are presented and a fusion structure is included to improve the final classification performance. The definition of "layer" and the method to create it are then introduced. Based on "layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy,...
Defence R&D Canada has been studying the military applications of hyperspectral imagery for a number of years. In other unrelated efforts, the Canadian remote sensing community has also been active in developing hyperspectral algorithms for civilian use. This civilian technology has many potential military applications. In an effort to demonstrate the potential of these defence and civilian technologies...
The improvement in sensor technologies over the recent years is providing the earth observation community with datacubes of several hundreds of spectral bands which are both an incredible opportunity for phenomenology understanding and material characterization but also pose a serious challenge for their exploitation. We propose in this paper to eliminate spectral redundancy and noise with the minimum...
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