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...
Kaydedildi:
| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Debrecen University Press.
2010-06-01
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| Seri Bilgileri: | Acta Geographica Debrecina. Landscape & Environment Series |
| Konular: | |
| Online Erişim: | http://landscape.geo.klte.hu/pdf/agd/2010/2010v4is1_4.pdf |
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