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Proceedings Paper

Landsat spectral demixing a la superresolution of blind matrix inversion by constraint MaxEnt neural nets
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Paper Abstract

A single pixel of a Landsat image has seven channels receiving 0.1 to 10 microns of radiation from the ground within a 20 by 20 meter footprint. In principle, the pattern of seven values can be utilized to identify ground sources within the pixel footprint by using methodologies called spectral blind demixing of unknown sources when the reflectance matrix Wij for the ith object and the jth band is either partially or difficult to measure in the outer space.

Paper Details

Date Published: 3 April 1997
PDF: 14 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271711
Show Author Affiliations
Harold H. Szu, Naval Surface Warfare Ctr. (United States)
Charles C. Hsu, Trident Systems Inc. (United States)

Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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