Abstract
Fractal is an excellent tool for researching and exploring spatial structure and its complexity. In this paper, the advantage and disadvantage of traditional statistical method such as maximum, minimum and standard deviation etc for bands selecting of hyper-spectral remote sensing data has been analyzed. Traditional method can't acquire the spatial information of images, and fractal dimensions served as an index of bands selecting can remedy for it. Fractal dimensions values for all selected bands of the two OMIS-I scenes sand and vegetation were computed by Matlab program using the line-divider (isarithm) method and triangular prism method. It shows that the difference of the fractal dimensions inⅠand Ⅴ spectral regions are light, on the contrary, Ⅱ, Ⅲ and Ⅳ regions have bigger change and fluctuation. Basically, fractal dimensions values in Ⅱ, Ⅲ and Ⅳ regions are higher than Ⅰand Ⅴ too. So the spatial structural information and the image quality in Ⅰand Ⅴ regions are better thanⅡ, Ⅲ and Ⅳ regions. The traditional method in combination with the fractal method will be a new technique for the bands selection of hyper-spectral remote sensing data.
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