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Proceedings Paper

A Class Of New Statistical Decision Algorithms For Solving Problems Of Civil Space Remote Sensing
Author(s): Nicolai A. Nechval
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Paper Abstract

In this paper a technique is proposed for analytical solving the problems arised to apply for civil space remote sensing, namely: determination of the detection thresholds of signals, remote measurement of the thickness of surface cover. These problems can be perceived as from the point of accepted decisions in the uncertain conditions. For their solving the main principles are applied from the theory of statistical decisions, the theory of estimation and the theory of optimization. The gynqral procedures are based on the usage of the idea of statistical invariant coupling method''', which one was taken into consideration for synthesis of statistical decision algorithms. As it is known to be rather clearly for having new results and the previous ones, to be effective on small samples of observations. The ideas of synthesis of statistical decision algorithms are being illustrated at easy examples and they are not overloaded by additional details. Practical meanings of results having widely received in the many areas: detection anomalies on the earth surface (monitoring problems), resource exploration, fisheries guidance, ship routing during winter navigation, etc).

Paper Details

Date Published: 1 August 1984
PDF: 10 pages
Proc. SPIE 0481, Recent Advances in Civil Space Remote Sensing, (1 August 1984); doi: 10.1117/12.943070
Show Author Affiliations
Nicolai A. Nechval, Department of the Control Systems, Civil Aviation Engineers Institute (USSR)

Published in SPIE Proceedings Vol. 0481:
Recent Advances in Civil Space Remote Sensing

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