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An analytical model of Earth-observational remote sensing systems

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2 Author(s)
Kerekes, J.P. ; MIT Lincoln Lab., Lexington, MA, USA ; Landgrebe, D.A.

The authors present a system model for the remote sensing process and some results that yield insight into the process. Key results include interrelations between the atmosphere, sensor noise, sensor view angle and scattered path radiance and their influence on classification accuracy of the ground cover type. Also included are results indicating the tradeoffs in ground cell size and surface spatial correlation and their effect on classification accuracy

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:21 ,  Issue: 1 )

Date of Publication:

Jan/Feb 1991

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