Identification and extraction of the faults based on object driven in image understanding

Kai Xu; Chunfang Kong; Donghui Xie; Zhiqiang Xiao

doi:10.1117/12.760429

15 August 2007 Identification and extraction of the faults based on object driven in image understanding

Kai Xu, Chunfang Kong, Donghui Xie, Zhiqiang Xiao

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67520H (2007) https://doi.org/10.1117/12.760429
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Kai Xu, Chunfang Kong, Donghui Xie, and Zhiqiang Xiao "Identification and extraction of the faults based on object driven in image understanding", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520H (15 August 2007); https://doi.org/10.1117/12.760429

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