Neural and statistical techniques for remote sensing image classification
This paper examines different approaches to remote sensing images classification. Included in the study are statistical approach, in particular Gaussian maximum likelihood classifier, and two different neural networks paradigms: multilayer perceptron trained with EDBD algorithm, and ARTMAP neural ne...
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| Date: | 2010 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут програмних систем НАН України
2010
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/14712 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Neural and statistical techniques for remote sensing image classification/ Iu. Grypych, N. Kussul, O. Kussul// Пробл. програмув. — 2010. — № 2-3. — С. 577-583. — Бібліогр.: 23 назв. — англ. |