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首页> 外文会议>National symposium on remote sensing technologies >The Information of Oil and Gas Micro-seepage in Dongsheng Region of Inner Mongolia Extraction Based on the Airborne Hyperspectral Remote Sensing Image
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The Information of Oil and Gas Micro-seepage in Dongsheng Region of Inner Mongolia Extraction Based on the Airborne Hyperspectral Remote Sensing Image

机译：基于机载高光谱遥感图像的内蒙古萃取东胜地区油气微渗流的信息

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The technology of hyper-spectral remote sensing which has higher spatial resolution characteristic, and optimizes the qualification of identifying and extracting salt mines, not only enhances the capacity of natural scenes detection and recognition, but also advances the level of quantitative remote sensing. It has important meaning for using the technology of hyper-spectral remote sensing to quantitative extraction. The paper investigate gas micro-seepage based on the Airborne Hyper-spectral Remote Sensing in Dongsheng of Inner Mongolia on the basis of gas micro-seepage theory using EO-1 Hyperion data collected by Satellite-Borne Sensor which has highest spatial resolution presently in the world. On the basis of data pretreated this paper adopts band math extracted the distribution of oil and gas micro-seepage using diagnostic assimilating spectrum of alteration minerals by the numbers. With eigenvector length model evaluates the research area comprehensive index, oil and gas micro-seepage information model of the research area is established and key regions of oil and gas micro-seepage are confirmed, which offers academic gist for oil and gas resource exploitation of Dongsheng.
机译：具有较高的空间分辨率特性的超光谱遥感技术，并优化了识别和提取盐矿的资格，不仅提高了自然场景检测和识别的能力，还提出了定量遥感的水平。它对使用超光谱遥感技术进行定量提取具有重要意义。本文根据卫星传感传感器收集的卫星传感器收集的卫星传感器收集的气体微渗流基于内蒙古东升的空气微光遥感的气体微渗透世界。基于数据预处理本文采用频段数学提取了使用数字诊断矿物质的诊断同化矿物质的油气微渗流的分布。利用特征媒体长度模型评估研究区域的综合指数，建立了研究区的石油和气体微渗流信息模型，并确认了石油和天然气微渗流的关键区域，为东升的石油和天然气资源开发提供了学术要点。

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