UNSUPERVISED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGERY BY SELF-ORGANIZING NEURAL NETWORK

The current paper discusses the importance of the modern high resolution satellite imagery. The acquired high amount of data must be processed by an efficient way, where the used Kohonen-type self-organizing map has been proven as a suitable tool. The paper gives an introduction to this interesting...

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מידע ביבליוגרפי

Principais autores:	ÁRPÁD BARSI, KATALIN GÁSPÁR, ZSUZSANNA SZEPESSY
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Debrecen University Press. 2010-06-01
סדרה:	Acta Geographica Debrecina. Landscape & Environment Series
נושאים:	artificial neural network clustering high resolution imagery
גישה מקוונת:	http://landscape.geo.klte.hu/pdf/agd/2010/2010v4is1_4.pdf
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!