Paper
1 January 1987 Image Processing Software For Imaging Spectrometry
Alan S. Mazer, Miki Martin, Meemong Lee, Jerry E. Solomon
Author Affiliations +
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan S. Mazer, Miki Martin, Meemong Lee, and Jerry E. Solomon "Image Processing Software For Imaging Spectrometry", Proc. SPIE 0834, Imaging Spectroscopy II, (1 January 1987); https://doi.org/10.1117/12.942293
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CITATIONS
Cited by 20 scholarly publications.
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KEYWORDS
Absorption

Computer programming

Binary data

Spectrometers

Image segmentation

Imaging systems

Minerals

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