Extraction of the fault information in recognizing and partitioning the spatial structure of basin group in the south of north of China

The fault is one of main studying objects in remote sensing of geology. It reflects the causation and basic characters of diastrophism. For the complexity and uncertainty characteristic of remote sensing information, this paper discusses how to fuse the information of remote sensing and geosciences based on traditional statistics and intelligence technique puts forward the theory of remote sensing image comprehending agent and builds the model of automatic extracting. Then, based on the theory and model, this paper analyzes the spectrum of fault, and completes the extraction, quantitive statistic analysis and spatial analysis for fault on remote sensing image to reveal the distribution rules and spatial structures to provide the sustainment for understanding the geological structure and tectonic of whole area.