Estimation of sample size influence to lengthened objects detection algorithm

This paper is devoted to the important topic of choosing the sample size for the designed algorithm, which allows us to detect lengthened objects of the underlying terrain by the signal of the pulse radar altimeter. At first, here is given the short description of the algorithm and its distinctions...

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Main Authors: Sorokin Artem K., Vazhenin Vladimir G.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15019.pdf
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author Sorokin Artem K.
Vazhenin Vladimir G.
author_facet Sorokin Artem K.
Vazhenin Vladimir G.
author_sort Sorokin Artem K.
collection DOAJ
description This paper is devoted to the important topic of choosing the sample size for the designed algorithm, which allows us to detect lengthened objects of the underlying terrain by the signal of the pulse radar altimeter. At first, here is given the short description of the algorithm and its distinctions form other existing algorithms. Then the abilities of the given algorithm are discussed. After all, the principle of choosing the number of samples in the train is performed. At last, the recommendations about choosing the lengthened objects, which could be detected, are presented.
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spelling doaj.art-38d53bbeeab44bdfa2f45f2fafacda552022-12-21T23:25:36ZengEDP SciencesITM Web of Conferences2271-20972019-01-01301501910.1051/itmconf/20193015019itmconf_crimico2019_15019Estimation of sample size influence to lengthened objects detection algorithmSorokin Artem K.Vazhenin Vladimir G.This paper is devoted to the important topic of choosing the sample size for the designed algorithm, which allows us to detect lengthened objects of the underlying terrain by the signal of the pulse radar altimeter. At first, here is given the short description of the algorithm and its distinctions form other existing algorithms. Then the abilities of the given algorithm are discussed. After all, the principle of choosing the number of samples in the train is performed. At last, the recommendations about choosing the lengthened objects, which could be detected, are presented.https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15019.pdf
spellingShingle Sorokin Artem K.
Vazhenin Vladimir G.
Estimation of sample size influence to lengthened objects detection algorithm
ITM Web of Conferences
title Estimation of sample size influence to lengthened objects detection algorithm
title_full Estimation of sample size influence to lengthened objects detection algorithm
title_fullStr Estimation of sample size influence to lengthened objects detection algorithm
title_full_unstemmed Estimation of sample size influence to lengthened objects detection algorithm
title_short Estimation of sample size influence to lengthened objects detection algorithm
title_sort estimation of sample size influence to lengthened objects detection algorithm
url https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15019.pdf
work_keys_str_mv AT sorokinartemk estimationofsamplesizeinfluencetolengthenedobjectsdetectionalgorithm
AT vazheninvladimirg estimationofsamplesizeinfluencetolengthenedobjectsdetectionalgorithm