Perceptual display strategies of hyperspectral imagery based on PCA and ICA

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Title: Perceptual display strategies of hyperspectral imagery based on PCA and ICA
Author: Zhang, Hongqin; Messinger, David; Montag, Ethan
Abstract: This study investigated appropriate methodologies for displaying hyperspectral imagery based on knowledge of human color vision as applied to Hyperion and AVIRIS data. Principal Component Analysis (PCA) and Independent Component Analysis (ICA) were used to reduce the data dimensionality in order to make the data more amenable to visualization in three-dimensional color space. In addition, these two methods were chosen because of their underlying relationships to the opponent color model of human color perception. PCA and ICA-based visualization strategies were then explored by mapping the first three PCs or ICs to several opponent color spaces including CIELAB, HSV, YCrCb, and YUV. The gray world assumption, which states that given an image with sufficient amount of color variations, the average color should be gray, was used to set the mapping origins. The rendered images are well color balanced and can offer a first look capability or initial classification for a wide variety of spectral scenes.
Description: "Perceptual display strategies of hyperspectral imagery based on PCA and ICA," Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII. International Society of Optical Engineers. Held in Orlando, Florida: 17-21 April 2006.. Copyright 2006 Society of Photo-Optical Instrumentation Engineers. This paper was published in the Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII SPIE Vol. 6233 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Record URI: http://hdl.handle.net/1850/3027
Date: 2006-05-04

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