Neural and statistical techniques for remote sensing image classification
Vernadsky National Library of Ukraine
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Neural and statistical techniques for remote sensing image classification
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| Creator |
Grypych, Iu.
Kussul, N. Kussul, O. |
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| Subject |
Прикладне програмне забезпечення
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| Description |
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 network. These classification methods are compared on data acquired from Landsat-7 satellite. Experimental results showed that to achieve better performance of classifiers modular neural networks and committee machines should be applied.
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| Date |
2010-12-27T17:16:23Z
2010-12-27T17:16:23Z 2010 |
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| Type |
Article
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| Identifier |
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.
1727-4907 http://dspace.nbuv.gov.ua/handle/123456789/14712 52(15).003 |
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| Language |
en
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| Publisher |
Інститут програмних систем НАН України
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