Standard

Multi-spectral image recognition using solution trees based on similarity. / Berikov, Vladimir B.; Pestunov, Igor A.; Kozinets, Roman M. и др.

в: CEUR Workshop Proceedings, Том 2534, 12.01.2020, стр. 260-266.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Berikov, VB, Pestunov, IA, Kozinets, RM & Rylov, SA 2020, 'Multi-spectral image recognition using solution trees based on similarity', CEUR Workshop Proceedings, Том. 2534, стр. 260-266.

APA

Berikov, V. B., Pestunov, I. A., Kozinets, R. M., & Rylov, S. A. (2020). Multi-spectral image recognition using solution trees based on similarity. CEUR Workshop Proceedings, 2534, 260-266.

Vancouver

Berikov VB, Pestunov IA, Kozinets RM, Rylov SA. Multi-spectral image recognition using solution trees based on similarity. CEUR Workshop Proceedings. 2020 янв. 12;2534:260-266.

Author

Berikov, Vladimir B. ; Pestunov, Igor A. ; Kozinets, Roman M. и др. / Multi-spectral image recognition using solution trees based on similarity. в: CEUR Workshop Proceedings. 2020 ; Том 2534. стр. 260-266.

BibTeX

@article{6cf24e1b0a84424e92f79325c3081739,
title = "Multi-spectral image recognition using solution trees based on similarity",
abstract = "A method for constructing decision trees based on the mutual similarity of objects is proposed. The method allows obtaining complex decision boundaries, which have a clear logical interpretation. The results of the experiments confirm the effectiveness of the method for multispectral image recognition.",
keywords = "Decision tree, Multispectral image, Recognition, Similarity of observations",
author = "Berikov, {Vladimir B.} and Pestunov, {Igor A.} and Kozinets, {Roman M.} and Rylov, {Sergey A.}",
year = "2020",
month = jan,
day = "12",
language = "English",
volume = "2534",
pages = "260--266",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",
note = "2019 All-Russian Conference {"}Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes{"}, SDM 2019 ; Conference date: 26-08-2019 Through 30-08-2019",

}

RIS

TY - JOUR

T1 - Multi-spectral image recognition using solution trees based on similarity

AU - Berikov, Vladimir B.

AU - Pestunov, Igor A.

AU - Kozinets, Roman M.

AU - Rylov, Sergey A.

PY - 2020/1/12

Y1 - 2020/1/12

N2 - A method for constructing decision trees based on the mutual similarity of objects is proposed. The method allows obtaining complex decision boundaries, which have a clear logical interpretation. The results of the experiments confirm the effectiveness of the method for multispectral image recognition.

AB - A method for constructing decision trees based on the mutual similarity of objects is proposed. The method allows obtaining complex decision boundaries, which have a clear logical interpretation. The results of the experiments confirm the effectiveness of the method for multispectral image recognition.

KW - Decision tree

KW - Multispectral image

KW - Recognition

KW - Similarity of observations

UR - http://www.scopus.com/inward/record.url?scp=85078521757&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85078521757

VL - 2534

SP - 260

EP - 266

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 2019 All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2019

Y2 - 26 August 2019 through 30 August 2019

ER -

ID: 23260538