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Proceedings Paper

Segmentations of hyperspectral imagery: techniques and applications
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Paper Abstract

Several approaches for segmenting hyperspectral data and automatically detecting unusual objects in natural scenes are discussed. We demonstrate segmentations of hyperspectral imagery based on of the most significant principal components of the hyperspectral data cube. Several applications of the segmented data are treated. Digital morphological operations can be used to isolate segments that match target criteria. Alternatively, background segments can be used to define background endmembers; pixels that are quantitatively spectrally different from the background can then be designated. Analog morphological operations can then be used for clutter rejection and for the detection of objects of particular size and shape.

Paper Details

Date Published: 23 January 2003
PDF: 16 pages
Proc. SPIE 4820, Infrared Technology and Applications XXVIII, (23 January 2003); doi: 10.1117/12.457627
Show Author Affiliations
Jerry Silverman, Air Force Research Lab. (United States)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4820:
Infrared Technology and Applications XXVIII
Bjorn F. Andresen; Gabor F. Fulop; Marija Strojnik, Editor(s)

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