Quantitative and comparative analysis of hyperspectral data fusion performance
Author(s): WANG Qiang, ZHANG Zuo, LI Shuo, SHEN Yi
Pages: 234-238
Year: 2002 Issue: 3
Journal: JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY(NEW SERIES)
Keyword: hyperspectral data fusion; quantitative correlation analysis; correlation information entropy; per-formance evaluation;
Abstract: Hyperspectral data fusion technique is the key to hyperspectral data processing in recent years. Manyfusion methods have been proposed, but little research has been done to evaluate the performances of differentdata fusion methods. In order to meet the urgent need, quantitative correlation analysis (QCA) is proposed toanalyse and compare the performances of different fusion methods directly from data before and after fusion. Ex-periment results show that the new method is effective and the results of comparison are in agreement with theresults of application.
Pages: 234-238
Year: 2002 Issue: 3
Journal: JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY(NEW SERIES)
Keyword: hyperspectral data fusion; quantitative correlation analysis; correlation information entropy; per-formance evaluation;
Abstract: Hyperspectral data fusion technique is the key to hyperspectral data processing in recent years. Manyfusion methods have been proposed, but little research has been done to evaluate the performances of differentdata fusion methods. In order to meet the urgent need, quantitative correlation analysis (QCA) is proposed toanalyse and compare the performances of different fusion methods directly from data before and after fusion. Ex-periment results show that the new method is effective and the results of comparison are in agreement with theresults of application.
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