Numerical Analysis for Problems of Remote Sensing with Random Input Data

Boris Dobronets, Olga Popova, G.M. Tsibulsky, M.V. Noskov, E.A. Lupyan, L.G. Sverdlik, A.K. Sagatelian, V.I. Kharuk, V.B. Kashkin
<span title="">2019</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wehsdgmkgvabfewguumql7pepe" style="color: black;">E3S Web of Conferences</a> </i> &nbsp;
The study is devoted to the remote sensing data processing using the models with random input data. In this article we propose a new approach to calculation of functions with random arguments, which is a technique of fast computations, based on the idea of parallel computations and the application of numerical probability analysis. To calculate a function with random arguments we apply one of the basic concepts of numerical probabilistic analysis as the probabilistic extension. To implement the
more &raquo; ... technique of fast computations, a new method based on parallel recursive calculations is proposed.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/e3sconf/20197501004">doi:10.1051/e3sconf/20197501004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b6ev3rwgszdtbhx5mohyjbr44y">fatcat:b6ev3rwgszdtbhx5mohyjbr44y</a> </span>
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