Neural and statistical techniques for remote sensing image classification

• Date: 2010
• Main Authors: Grypych, Iu., Kussul, N., Kussul, O.
• Format: Article
• Language: English
• Published: Інститут програмних систем НАН України 2010
• Subjects: Прикладне програмне забезпечення
• Online Access: https://nasplib.isofts.kiev.ua/handle/123456789/14712
• 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.

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...