Fractal Measurement of Remote Sensing Data
遥感数据的分形测量

Remote sensing data was analyzed by fractal geometry method to quantitatively explain remote sensing images. Three fractal dimension measurement methods, the line-divider (or contour) method, the variogram method and the trianguiar prism method. were programmed. The Landsat TM data of Tengchong area were used to compute the fractal dimensions by the line-divider method. That the contour length was computed by the row method, the column method and the row-column method can find oriented image patterns. When the patterns of images are obviously oriented, measured D values from the row method are different from the column method. Measured D values from the row-column method are hardly influenced by oriented patterns. When R (the coefficient of determination) > 0.9, all D values from them can present the spatial interrelationships within image data. By fractal measurement,both the characteristics of the whole image data-base and each value of the image data-base can be described, the disorder in appearance and the rule in inherence in remote-sensing data can be brought to light,and it will be possible to relate D values to ground objects to explore useful information of various natural phenomena.