Applications such as target recognition from remote sensed imagery may benefit from the fusion of traditional high resolution panchromatic or color images with multispectral or hyperspectral image cubes. A method for such image fusion proposed by Munechika and evaluated on synthetic imagery by Robinson, Gross and Schott is evaluated here using real imagery. A high-resolution RGB photograph is used to enhance a Hymap image cube for a scene taken over Mobile, Alabama. It is concluded that the spatial information is sharpened significantly, that spectral fidelity is preserved in the sharpening process, and that the fused imagery is likely to be beneficial in target recognition applications.
Enhancing spatial resolution for exploitation in hyperspectral imagery
2002-01-01
534748 byte
Conference paper
Electronic Resource
English
Enhancing Spatial Resolution for Exploitation in Hyperspectral Imagery
British Library Conference Proceedings | 2002
|A spectral-spatial kernel-based method for hyperspectral imagery classification
Online Contents | 2016
|A spectral-spatial kernel-based method for hyperspectral imagery classification
Online Contents | 2017
|Is real-time imagery exploitation unrealistic?
Tema Archive | 1983
|