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...
Saved in:
| Date: | 2010 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут програмних систем НАН України
2010
|
| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/14712 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1862560037734449152 |
|---|---|
| author | Grypych, Iu. Kussul, N. Kussul, O. |
| author_facet | Grypych, Iu. Kussul, N. Kussul, O. |
| citation_txt | 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. |
| collection | DSpace DC |
| 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.
|
| first_indexed | 2025-11-25T22:54:44Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-14712 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1727-4907 |
| language | English |
| last_indexed | 2025-11-25T22:54:44Z |
| publishDate | 2010 |
| publisher | Інститут програмних систем НАН України |
| record_format | dspace |
| spelling | Grypych, Iu. Kussul, N. Kussul, O. 2010-12-27T17:16:23Z 2010-12-27T17:16:23Z 2010 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 https://nasplib.isofts.kiev.ua/handle/123456789/14712 52(15).003 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. en Інститут програмних систем НАН України Прикладне програмне забезпечення Neural and statistical techniques for remote sensing image classification Article published earlier |
| spellingShingle | Neural and statistical techniques for remote sensing image classification Grypych, Iu. Kussul, N. Kussul, O. Прикладне програмне забезпечення |
| title | Neural and statistical techniques for remote sensing image classification |
| title_full | Neural and statistical techniques for remote sensing image classification |
| title_fullStr | Neural and statistical techniques for remote sensing image classification |
| title_full_unstemmed | Neural and statistical techniques for remote sensing image classification |
| title_short | Neural and statistical techniques for remote sensing image classification |
| title_sort | neural and statistical techniques for remote sensing image classification |
| topic | Прикладне програмне забезпечення |
| topic_facet | Прикладне програмне забезпечення |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/14712 |
| work_keys_str_mv | AT grypychiu neuralandstatisticaltechniquesforremotesensingimageclassification AT kussuln neuralandstatisticaltechniquesforremotesensingimageclassification AT kussulo neuralandstatisticaltechniquesforremotesensingimageclassification |