Hybrid Computational Methods for Hyperspectral Image Analysis

In this paper we provide a brief review of recent advances in computational methods for hyperspectral image analysis with emphasis in hybrid approaches. Hyperspectral imagery acquisition and hyperspectral analysis are growing elds. The analysis of hyperspectral images will have an increasing impact in several application areas, i.e., Earth observation, planetology, food industry, quality processes, medicine, etc. Hyperspectral image analysis is itself a hybrid process that chains di erent computational techniques. We focus on dimensionality reduction and spectral unmixing which are fundamental parts of hyperspectral image analysis.