Image Processing Software For Imaging Spectrometry

作者: Alan S. Mazer , Miki Martin , Meemong Lee , Jerry E. Solomon

DOI: 10.1117/12.942293

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摘要: Recent advances in remote sensing have enabled scientists to collect image data literally hundreds of spectral channels simul-taneously, from the near ultraviolet through short-wavelength infrared, using imaging spectrometers. In many cases this is sufficient resolution provide a direct surface materials identification. Yet volume and complexity produced requires new algorithms approaches beyond those traditionally used for multispectral analysis, including fast segmentation, identification mixture analysis. This paper describes software system specifically designed scientist with tools necessary exploratory analysis spectrometer only modest computa-tional resources.© (1987) COPYRIGHT SPIE--The International Society Optical Engineering. Downloading abstract permitted personal use only.

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