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The Spectral Analysis and Information Extraction for Small Geological target Detection using Hyperion Image

机译:利用Hyperion影像进行小地质目标检测的光谱分析和信息提取

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Imaging spectroscopic technique has been used for the mineral and rock geological mapping and alteration information extraction successfully with many reasonable results, but it is mainly used in arid and semi-arid land with low vegetation covering. In the case of the high vegetation covering, the outcrop of the altered rocks is small and distributes sparsely, the altered rocks is difficult to be identified directly. The target detection technique using imaging spectroscopic data should be introduced to the extraction of small geological targets under high vegetation covering area. In the paper, we take Ding-Ma gold deposit as the study area which located in Zhenan country, Shanxi province, the spectral features of the targets and the backgrounds are studied and analyzed using the field reflectance spectra, in addition to the study of the principle of the algorithms, some target detection algorithms which is appropriate to the small geological target detection are introduced. At last, the small altered rock targets under the covering of vegetation in forest are detected and discriminated in imaging spectroscopy data with the methods of spectral angle mapper (SAM), Constrained Energy Minimization (CEM) and Adaptive Cosine Estimator (ACE). The detection results are reasonable and indicate the ability of target detection algorithms in geological target detection in the forest area.
机译:成像光谱技术已成功地用于矿物和岩石的地质制图和蚀变信息的提取,取得了许多合理的结果,但它主要用于植被覆盖率低的干旱和半干旱土地。在植被覆盖度较高的情况下,蚀变岩石的露头很小且分布稀疏,难以直接识别蚀变岩石。在高植被覆盖区域下提取小型地质目标时,应引入利用成像光谱数据的目标检测技术。本文以定马金矿床为研究区,位于山西省镇安县,利用场反射光谱对靶标和背景的光谱特征进行了研究和分析。介绍了算法的原理,介绍了一些适用于小型地质目标检测的目标检测算法。最后,利用光谱角映射器(SAM),约束能量最小化(CEM)和自适应余弦估计器(ACE)在成像光谱数据中检测和区分了森林植被覆盖下的小蚀变岩石目标。检测结果合理,表明目标检测算法在森林地区地质目标检测中的能力。

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