원문정보
초록
영어
A remote sensing image is composed of vegetation and base rock or soil in moutain areas, which can be decomposed by the fractal model through Fourier transformation to enhance base rock or soil information. In this paper, four scene images of two types of bed rock from Anhui province are taken as a case to demonstrate the method’s validity: two scene images’ base rocks are monzonite granite while the other two base rock are limestone and mudstone. The fractal spectrum of the four scene images can’t be distinguished without processing yet the result shows good contrast for the two types of rock. Other contrasts between original and processed images show obvious difference in the two types of image such as in 2D-scatter map, in composed color map. The result proves that the method can improve base rock information in those vegetation covering region.
목차
1. Introduction
2. The Decomposition of Components at Frequency Domain
3. The Description of Research Area and Data
3.1. Overview of Geography and Geology of Research Area
3.2. The Data Source and Pre-processing
4. The Result Analysis and Discussions
4.1. Analysis of Fractal Spectrum Between Original and Processed Images
4.2. Spectrum Spatial Structure Analysis
4.3. Visual Contrast
4.4. NDVI Image Contrast
4.5. B3/B4 Characters Comparison
4.6. The Spectrum Curve Change
5. Conclusions and Acknowledgements
References