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Title:
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MULTISPECTRAL IMAGE CLASSIFICATION OF SHADED AND NON-SHADED LAND-COVER PATTERNS |
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Author(s):
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Wanessa da Silva, José Renato Garcia Braga, Haroldo Fraga de Campos Velho, Elcio Hideiti Shiguemori |
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ISBN:
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978-989-8533-45-6 |
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Editors:
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Hans Weghorn |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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Artificial Neural Network, Non-Linear Principal Components Analysis, Pattern Classification, Multispectral Image |
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Type:
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Full Paper |
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First Page:
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129 |
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Last Page:
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135 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This work addresses the multispectral image classification considering shaded land-cover patterns. In order to achieve this purpose, a conjunction of Artificial Neural Network and methods of dimensionality reduction (Principal Components Analysis and Non-Linear Principal Components Analysis) was used. The robustness of Artificial Neural Network approach and the resemblance of shaded and non-shaded multispectral patterns permitted a good classification of land-cover areas. |
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