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Optical Engineering

Computational Modeling For The Study Of Multispectral Sensor Systems And Concepts
Author(s): F. O. Huck; R. E. Davis; S. K. Park; R. M. Aherron; R. F. Arduini
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Paper Abstract

A computational model of the deterministic and stochastic processes involved in remote sensing is being developed as a tool for studying multispectral sensor systems and concepts. The goal is to improve the efficiency of sensor systems for routine worldwide monitoring of earth resources and the environment. Preliminary computational results are presented for simple models of the natural variability of atmospheric radiative transfer and surface reflectance. These results illustrate the dependence of classification accuracy on the selection of sensor spectral channels and data processing algorithms.

Paper Details

Date Published: 1 June 1982
PDF: 9 pages
Opt. Eng. 21(3) 213519 doi: 10.1117/12.7972940
Published in: Optical Engineering Volume 21, Issue 3
Show Author Affiliations
F. O. Huck, NASA, Langley Research Center (United States)
R. E. Davis, NASA, Langley Research Center (United States)
S. K. Park, NASA, Langley Research Center (United States)
R. M. Aherron, Information and Control Systems, Inc. (United States)
R. F. Arduini, Computer Sciences Corporation (United States)

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