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Scientific bulletins of the Belgorod State University Series Economics Computer Science
Article . 2012
Data sources: CyberLeninka - Russian open access scientific library
Claim

Нейросетевое прецедентное распознавание объектов на аэрокосмических изображениях с использованием частотных признаков

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2012 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Белгородский государственный национальный исследовательский университет»Journal:Научные ведомости Белгородского государственного университета. Серия: Экономика. Информатика (issn: 2411-3808, Copyright policy )

Нейросетевое прецедентное распознавание объектов на аэрокосмических изображениях с использованием частотных признаков

Abstract

В статье рассматривается нейросетевой метод распознавания объектов на изображениях земной поверхности, в которой вычисляются доли энергии выделяемых объектов.

Keywords

АЭРОКОСМИЧЕСКИЕ ИЗОБРАЖЕНИЯ,НЕЙРОННАЯ СЕТЬ,ЧАСТОТНОЕ ПРЕДСТАВЛЕНИЕ,ДОЛИ ЭНЕРГИИ,РАСПОЗНАВАНИЕ ОБРАЗОВ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze