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Proceedings Paper

Identification and extraction of the faults based on object driven in image understanding
Author(s): Kai Xu; Chunfang Kong; Donghui Xie; Zhiqiang Xiao
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Paper Abstract

The paper put forward the fault remote sensing information and extraction model based on the different spatial characteristics and combination of these characteristics in order to improve its efficiency in making the computer information processing system self-adapted and automatic. Guided by the mathematical morphology, data synthesis and artificial intelligence, and generalizing the artificial intelligence technology like nerve calculation and geographic information analysis model, the paper set up the obtaining, expression and analysis mechanism of the fault space information and knowledge. Simulating the intensive geosciences analysis and space decision-making process of the geosciences experts in the understanding, information extract of the remote sensing information.

Paper Details

Date Published: 15 August 2007
PDF: 8 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520H (15 August 2007); doi: 10.1117/12.760429
Show Author Affiliations
Kai Xu, Beijing Normal Univ. (China)
Chunfang Kong, China Univ. of Geosciences (China)
Donghui Xie, Beijing Normal Univ. (China)
Zhiqiang Xiao, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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