Algorithm of Object Recognition from Hyperspectral Remote Sensing and its Application in Lithologic Feature Extraction

The study aiming at the problems of the distinction of spectrum waveform characteristics，operation speed，spatial detail spectral features for the improvement of the algorithm in Hyperspectral remote sensing feature recognition，On the basis of this puts forward the algorithm of the fractal signal.The performance，efficiency，etc of the algorithm itself has been tested by using CASI hyperspectral data，hyperspectral remote sensing image lithologic characteristics of the study area also has been extracted.The initial value of the signal，the iteration step length and other characteristics of fractal signal of the hyperspectral remote sensing data were discarded in this study.To a certain extent，the fractal signal algorithm can refine the distinguishability of the similar characteristics of hyperspectral，and the algorithm used for feature extraction in CASI data of lithology achieves the purpose to accurately extract the surface lithology of bedrock exposed areas.