Инд. авторы:	Pestunov I., Rylov S., Berikov V.
Заглавие:	Hierarchical clustering algorithms for segmentation of multispectral images
Библ. ссылка:	Pestunov I., Rylov S., Berikov V. Hierarchical clustering algorithms for segmentation of multispectral images // Optoelectronics, Instrumentation and Data Processing. - 2015. - Vol.51. - Iss. 4. - P.329-338. - ISSN 8756-6990. - EISSN 1934-7944.
Внешние системы:	DOI: 10.3103/S8756699015040020; РИНЦ: 24961078; SCOPUS: 2-s2.0-84944059799; WoS: 000420999300002;
Реферат:	eng: Computationally efficient HCA and HECA hierarchical clustering algorithms for segmentation of multispectral images have been developed using the grid and ensemble approaches. A special metric is proposed to identify embedded clusters even in the presence of overlapping. The efficiency of the algorithms has been confirmed by the results of experimental studies using model and real data.
Ключевые слова:	ensemble hierarchical clustering algorithm; grid approach; segmentation of multispectral satellite images;
Издано:	2015
Физ. характеристика:	с.329-338