Feature Extraction of Hyperspectral Image Cubes Using Three-Dimensional Gray-Level Cooccurrence


This paper presents a novel approach for the feature extraction of hyperspectral image cubes. In this paper, hyperspectral image cubes are treated as volumetric data sets. Features that are most helpful in separating different targets are effectively extracted from the hyperspectral image cubes using a newly developed high-order texture analysis method. The… (More)
DOI: 10.1109/TGRS.2012.2223704


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Citations per Year

Citation Velocity: 17

Averaging 17 citations per year over the last 3 years.

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