Dimensionality Reduction of Hyperspectral Imagery Data for FeatureClassification

Charles K. Chui and Jianzhong Wang
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Charles K. Chui: University of Missouri, Department of Mathematics
Jianzhong Wang: Sam Houston State University, Department of Mathematics

Chapter 34 in Handbook of Geomathematics, 2010, pp 1005-1047 from Springer

Abstract: Abstract The objective of this chapter is to highlight the current research activities and recent progress in the area of dimensionality reduction of hyperspectral geological/geographical imagery data, which are widely used in image segmentation and feature classification. We will only focus on four topics of interest, namely hyperspectral image (HSI) data preprocessing, similarity/dissimilarity definition of HSI data, construction of dimensionality reduction (DR) kernels for HSI data, and HSI data dimensionality reduction algorithms based on DR kernels.

Keywords: Dimensionality Reduction; Singular Value Decomposition; Locally Linear Embedding; Diffusion Kernel; Spectral Space (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-01546-5_34

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DOI: 10.1007/978-3-642-01546-5_34

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