3D Visualization of an Invariant Display Strategy for Hyperspectral Imagery

摘要

Spectral imagery provides multi- dimensional data, which are difficult to display in standard three-color image formats. Tyo, et al. (2001) propose an invariant display strategy to address this problem. This approach is to mimic the dynamics of human perception. The dimensionality of the data are reduced by using a Principal Component (PC) transformation, and then displayed by making used of a Hue, Saturation, and Value (HSV) display transform. This study addresses the PC transformation strategy, looks for a global eigenvector via visualization of HSV color space information, and examines the suggested algorithm to provide the most intuitive display. The user interface created in this thesis is capable of computing the necessarily implementation of the proposed strategy, viewing selected Region of Interest (ROI) in HSV color space model in 3D, and viewing the 2D resultant image.