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Proceedings Paper

Image Processing Software For Imaging Spectrometry
Author(s): Alan S. Mazer; Miki Martin; Meemong Lee; Jerry E. Solomon
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Paper Abstract

Recent advances in remote sensing have enabled scientists to collect image data in literally hundreds of spectral channels simul-taneously, from the near ultraviolet through the short-wavelength infrared, using imaging spectrometers. In many cases this data is of sufficient resolution to provide a direct surface materials identification. Yet the volume and complexity of the data produced requires new algorithms and approaches beyond those traditionally used for multispectral image analysis, including algorithms for fast image segmentation, spectral identification and mixture analysis. This paper describes a software system specifically designed to provide the scientist with the tools necessary for exploratory analysis of imaging spectrometer data using only modest computa-tional resources.

Paper Details

Date Published: 1 January 1987
PDF: 4 pages
Proc. SPIE 0834, Imaging Spectroscopy II, (1 January 1987); doi: 10.1117/12.942293
Show Author Affiliations
Alan S. Mazer, California Institute of Technology (United States)
Miki Martin, California Institute of Technology (United States)
Meemong Lee, California Institute of Technology (United States)
Jerry E. Solomon, California Institute of Technology (United States)

Published in SPIE Proceedings Vol. 0834:
Imaging Spectroscopy II
Gregg Vane, Editor(s)

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