Lithology Feature Extraction of CASI Hyperspectral Data Based on Fractal Signal Algorithm

作者：Tang Chao; Chen Jian ping^*; Cui Jing; Wen Bo tao

来源：Spectroscopy and Spectral Analysis, 2014, 34(5): 1388-1393.

DOI：10.3964/j.issn.1000-0593(2014)05-1388-06

• Hyperspectral
• Data dimensionality reduction
• Fractal signal
• Lithology feature extraction

Hyperspectral data is characterized by combination of irhage and spectrum and large data volume dimension reduction is the main research direction. Band selection and feature extraction is the primary method used for this objective. In the present article, the authors tested methods applied for the lithology feature extraction from hyperspectral data. Based on the self-similarity of hyperspectral data, the authors explored the application of fractal algorithm to lithology feature extraction from CAST hyperspectral data. The "carpet method" was corrected and then applied to calculate the fractal value of every pixel in the hyperspectral data. The results show that fractal information highlights the exposed bedrock lithology better than the original hyperspectral data. The fractal signal and characterized scale are influenced by the spectral curve shape, the initial scale selection and iteration step. At present, research on the fractal signal of spectral curve is rare, implying the necessity of further quantitative analysis and investigation of its physical implications.

• 出版日期2014-5
• 单位中国地质大学（北京）