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Article . 2010
Data sources: CyberLeninka - Russian open access scientific library
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Сегментация многоспектральных изображений на основе ансамбля непараметрических алгоритмов кластеризации

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2010 Russian Publisher:Сибирский государственный аэрокосмический университет имени академика М.Ф. РешетневаJournal:Вестник Сибирского государственного аэрокосмического университета им. академика М.Ф. Решетнева (issn: 1816-9724, Copyright policy )

Сегментация многоспектральных изображений на основе ансамбля непараметрических алгоритмов кластеризации

Abstract

Предложен метод сегментации многоспектральных изображений на основе ансамбля непараметрических алгоритмов; дано теоретическое обоснование метода. Результаты статистического моделирования на модельных данных и реальных изображениях подтверждают эффективность предложенного метода.

The method for constructing an ensemble of nonparametric clustering algorithms is proposed. Its theoretical substantiation is resulted. Results of the model data and real images confirm the efficiency of the proposed method.

Keywords

СЕГМЕНТАЦИЯ МНОГОСПЕКТРАЛЬНЫХ ИЗОБРАЖЕНИЙ, НЕПАРАМЕТРИЧЕСКИЕ АЛГОРИТМЫ КЛАСТЕРИЗАЦИИ, АНСАМБЛЕВЫЙ ПОДХОД

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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