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

机译:识别与分区中国北部盆地空间结构的故障信息的提取

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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.
机译:故障是地质遥感中的主要研究对象之一。它反映了律学的因果关系和基本特征。为了遥感信息的复杂性和不确定性特征,本文讨论了如何融合基于传统统计和智能技术的遥感和地球科学的信息,提出了遥感图像理解代理的理论,并建立了自动提取模型。然后,基于理论和模型,本文分析了故障的频谱,并完成了遥感图像故障的提取,定量统计分析和空间分析,以揭示分布规则和空间结构,为理解地质的维持整个区域的结构和构造。

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