首页> 外文会议>Asian Conference on Remote Sensing(ACRS2005); Asian Space Conference; 20051107-11; 20051107-11; Ha Noi(VN); Ha Noi(VN) >Application of Hyperion hyperspectral imagery on geological mapping in Central Mountain Range of Taiwan: preliminary results
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Application of Hyperion hyperspectral imagery on geological mapping in Central Mountain Range of Taiwan: preliminary results

机译:Hyperion高光谱影像在台湾中山山脉地质制图中的应用:初步结果

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The characteristics of geological material, such as the lithology and mineral composition, provide important information in geohazard assessment and mineral exploration. The lofty Central Mountain Range located in the mid east of Taiwan was formed by the slow collision of the Asian continental plate and the Philippine plate, resulting in a 340-km × 80-km area with average height of 2000-m where implementation of the traditional approach of geological survey is impractical. Up to now, very little is known about the characteristics of geological material in this area. The hyperspectral imagery obtained from the airborne platform had been applied in lithology mapping since 1980s. All ideal results were reported in the sparse-vegetation and well-exposed outcrop area. The space-borne Hyperion sensor onboarded the EO-1 satellite was successful deployed in November 2000. Its advanced spectral range and resolution motivates us to apply the hyperspectral imagery to the work of geological mapping in the Central Mountain Range of Taiwan. The challenge is that the coverage of vegetation is dense while the useful outcrop is relatively sparse in this area. To apply the hyperspectral imagery to the work of geological mapping in dense-vegetation and sparse-outcrop region, we investigate the feasibility by conducting a numerical experiment with simulated hyperspectral imagery. The spectra of different surface features are selected and mixed under various controlled conditions. A series of hyperspectral unmixing processing was taken and the results were compared to the simulated conditions. Even though the outcrop area is too small to constitute a pure pixel, results from this experiment indicate that the outcrop still can be identified, as long as the spectra of that particular outcrop is measured and provided as an endmember in the processing. We took a further step to process and analyze the Hyperion image taken on 5 June 2005 in this area. The commercial package, FLAASH 4.1, was employed to correct the atmospheric effect. The ground truths were collected during several field works to the Pao-Lai and He-Ping sites. Various samples of rocks were brought back to the lab to measure the spectral reflectance using a hyperspectral spectroradiometer (GER 2600). These spectra were supplied as endmembers in the processing of Hyperion image. The standard approaches of mixed-pixel analysis were followed and the results of classification were compared to the existing geological map. Results of this research encourage the application of Hyperion hyperspectral imagery on geological mapping in Central Mountain Range of Taiwan.
机译:地质材料的特征,例如岩性和矿物组成,为地质灾害评估和矿物勘探提供了重要信息。亚洲大陆板块与菲律宾板块的缓慢碰撞形成了位于台湾中部的崇高山脉中央山脉,形成了340公里×80公里的区域,平均高度为2000米。传统的地质调查方法是不切实际的。迄今为止,对该地区地质材料的特征知之甚少。自1980年代以来,从机载平台获得的高光谱图像已应用于岩性制图。在稀疏的植被和暴露良好的露头区域,均报告了所有理想结果。 EO-1卫星上搭载的星载Hyperion传感器已于2000年11月成功部署。其先进的光谱范围和分辨率促使我们将高光谱图像应用于台湾中部山脉的地质制图工作。面临的挑战是,该地区植被覆盖茂密,而有用的露头相对稀疏。为了将高光谱图像应用于茂密植被和稀疏露头地区的地质制图工作中,我们通过对模拟高光谱图像进行数值实验来研究可行性。选择不同表面特征的光谱,并在各种受控条件下进行混合。进行了一系列高光谱分解处理,并将结果与​​模拟条件进行了比较。即使露头区域太小而无法构成一个纯像素,该实验的结果表明,只要测量出该露头的光谱并将其作为加工的最终成员,露头仍可被识别。我们采取了进一步措施来处理和分析2005年6月5日在该区域拍摄的Hyperion图像。使用商业软件包FLAASH 4.1来纠正大气影响。地面真相是在对宝来和和平地区进行的几次野外工作中收集的。使用高光谱光谱仪(GER 2600)将各种岩石样品带回实验室以测量光谱反射率。这些光谱作为Hyperion图像处理中的端成员提供。遵循混合像素分析的标准方法,并将分类结果与现有地质图进行比较。研究结果鼓励Hyperion高光谱影像在台湾中山山脉的地质制图中的应用。

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