Feature Selection for Hyperspectral Data Classification Using Double Parallel Feedforward Neural Networks

Mingyi He; Rui Huang

doi:10.1007/11540007_8

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Feature Selection for Hyperspectral Data Classification Using Double Parallel Feedforward Neural Networks

Mingyi He Rui Huang

Year: 2005 Lecture notes in computer science Pages: 58-66 Publisher: Springer Science+Business Media

DOI: 10.1007/11540007_8

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Keywords:

Hyperspectral imaging Computer science Artificial neural network Artificial intelligence Weighting Pattern recognition (psychology) Feature selection Classifier (UML) Dimensionality reduction Feedforward neural network Feature (linguistics)

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Feature Selection for Hyperspectral Data Classification Using Double Parallel Feedforward Neural Networks

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