Feature extraction for multisource data classification with artificial neural networks
作者:
J. A. Benediktsson,
J. R. Sveinsson,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1997)
卷期:
Volume 18,
issue 4
页码: 727-740
ISSN:0143-1161
年代: 1997
DOI:10.1080/014311697218728
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Classification of multisource remote sensing and geographic data by neural networks is discussed with respect to feature extraction. Several feature extraction methods are reviewed, including principal component analysis, discriminant analysis, and the recently proposed decision boundary feature extraction method. The feature extraction methods are then applied in experiments in conjunction with classification by multilayer neural networks. The decision boundary feature extraction method shows excellent performance in the experiments.
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