Feature Extraction Using Principal and Independent Component Analysis aor Hyperspectral Imagery
Robert Koo
Broschiertes Buch

Feature Extraction Using Principal and Independent Component Analysis aor Hyperspectral Imagery

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Hyperspectral imagery (HSI) analysis is frequently employed by the Department of Defense for the purpose of classifying objects within an image as a form of target detection. In this research a robust Two-Phase Filtering Independent Component Analysis (ICA) Target Detection Method is proposed and validated. This new method resolves two main challenges encountered when implementing target detection methods using ICA, a high order statistics feature extraction (FE) method. The first challenge is the high computational demand imposed by the large volume of data associated with HSI during the FE p...