PC-based display strategy for spectral imagery

J. Tyo, R. C. Olsen
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引用次数: 4

Abstract

We present a new pseudocolor mapping strategy for use with spectral imagery based on a principal components analysis of spectral data. The mapping capitalizes on the similarities between human vision and hyperspectral data. The transformation results in final images where the color assigned to each pixel is solely determined by the position within the data cloud. Materials with similar spectral characteristics are presented in similar hues. This display strategy can be the first step in a supervised classification and clustering method.
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基于pc的光谱图像显示策略
本文提出了一种基于光谱数据主成分分析的光谱图像伪彩色映射策略。该制图利用了人类视觉和高光谱数据之间的相似性。在最终的图像中,分配给每个像素的颜色完全由数据云中的位置决定。具有相似光谱特性的材料以相似的色调呈现。这种显示策略可以作为监督分类和聚类方法的第一步。
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