高光谱数据的波段序结构分析与应用研究

Study on Band Sequence Structure Analysis of Hyperspectral Data

把高光谱数据近似于连续的细分波段作为波段序列数据,由此提出波段序结构分析技术,主要包括波段序列直方图、左(右)偏度参量分析、相关(似)矩阵分析和回归偏度分析等。通过对波段序结构分析技术在高光谱数据的统计特征分析与数据质量评价、"蚀变异常"信息潜在性评价与特征波段选择及矿物蚀变信息提取等几个方面的应用研究与实践,阐述了这一技术思想的科学性与实用价值。

This paper puts forwards a new kind of technical approach - Band Sequence Structure Analysis （BSSA） by using the hyperspeetral data as the band - series data which have almost continuous sub - band. This new technical approach includes such means as band sequence histogram, left （right） skew parameter analysis, relevant （similar） matrix and regression skew analysis. In this paper, the BSSA of hyperspectral data is applied to such fields as statistical character analysis and quality evaluation, evaluation of potentiality of alteration information, selection of characteristic bands and extraction of mineral alteration information. The result of the application demonstrates the scientific value and practicality of the new technical idea.