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

Kai Xu; Chonglong Wu; Chunfang Kong

doi:10.1117/12.655260

3 November 2005 Extraction of the fault information in recognizing and partitioning the spatial structure of basin group in the south of north of China

Kai Xu, Chonglong Wu, Chunfang Kong

Author Affiliations +

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441V (2005) https://doi.org/10.1117/12.655260
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

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.

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Kai Xu, Chonglong Wu, and Chunfang Kong "Extraction of the fault information in recognizing and partitioning the spatial structure of basin group in the south of north of China", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441V (3 November 2005); https://doi.org/10.1117/12.655260

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