Title :
Enhancing spatial resolution for exploitation in hyperspectral imagery
Author :
Rhody, Harvey E.
Author_Institution :
Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
Abstract :
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.
Keywords :
image colour analysis; image resolution; object recognition; remote sensing; sensor fusion; Hymap image cube; color images; high resolution panchromatic images; high-resolution RGB photograph; hyperspectral imagery; image fusion; multispectral image cubes; remote sensed imagery; spatial information sharpening; spatial resolution; spectral fidelity; target recognition; Color; Fuses; High-resolution imaging; Hyperspectral imaging; Hyperspectral sensors; Image resolution; Layout; Spatial resolution; Target recognition; Testing;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st
Print_ISBN :
0-7695-1863-X
DOI :
10.1109/AIPR.2002.1182250