Numerical Analysis for Problems of Remote Sensing with Random Input Data

Numerical Analysis for Problems of Remote Sensing with Random Input Data

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 o...

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Main Authors: Dobronets Boris, Popova Olga
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20197501004
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spelling doaj-6167e3f5f2da401bbc4e0c89a0467e0c2021-02-02T07:24:39ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01750100410.1051/e3sconf/20197501004e3sconf_rpers2018_01004Numerical Analysis for Problems of Remote Sensing with Random Input DataDobronets BorisPopova OlgaThe 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 technique of fast computations, a new method based on parallel recursive calculations is proposed.https://doi.org/10.1051/e3sconf/20197501004
collection DOAJ
language English
format Article
sources DOAJ
author Dobronets Boris
Popova Olga
spellingShingle Dobronets Boris
Popova Olga
Numerical Analysis for Problems of Remote Sensing with Random Input Data
E3S Web of Conferences
author_facet Dobronets Boris
Popova Olga
author_sort Dobronets Boris
title Numerical Analysis for Problems of Remote Sensing with Random Input Data
title_short Numerical Analysis for Problems of Remote Sensing with Random Input Data
title_full Numerical Analysis for Problems of Remote Sensing with Random Input Data
title_fullStr Numerical Analysis for Problems of Remote Sensing with Random Input Data
title_full_unstemmed Numerical Analysis for Problems of Remote Sensing with Random Input Data
title_sort numerical analysis for problems of remote sensing with random input data
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description 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 technique of fast computations, a new method based on parallel recursive calculations is proposed.
url https://doi.org/10.1051/e3sconf/20197501004
work_keys_str_mv AT dobronetsboris numericalanalysisforproblemsofremotesensingwithrandominputdata
AT popovaolga numericalanalysisforproblemsofremotesensingwithrandominputdata
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