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111.
Remote sensing has proved to be a powerful resource in geology capable of delineating target exploration areas for several deposit types. Only recently, these methodologies have been used for the detection of lithium (Li)-bearing pegmatites. This happened because of the growing importance and demand of Li for the construction of Li-ion batteries for electric cars. The objective of this study was to develop innovative and effective remote sensing methodologies capable of identifying Li-pegmatites through alteration mapping and through the direct identification of Li-bearing minerals. For that, cloud free Landsat-5, Landsat-8, Sentinel-2 and ASTER images with low vegetation coverage were used. The image processing methods included: RGB (red, green, blue) combinations, band ratios and selective principal component analysis (PCA). The study area of this work is the Fregeneda (Salamanca, Spain)-Almendra (Vila Nova de Foz Côa, Portugal) region, where different known types of Li-pegmatites have been mapped. This study proposes new RGB combinations, band ratios and subsets for selective PCA capable of differentiating the spectral signatures of the Li-bearing pegmatites from the spectral signatures of the host rocks. The potential and limitations of the methodologies proposed are discussed, but overall there is a great potential for the identification of Li-bearing pegmatites using remote sensing. The results obtained could be improved using sensors with a better spatial and spectral resolution. 相似文献
112.
Abstract A case study is presented for the application of statistical and geostatistical methods to the problem of estimating groundwater quality variables. This methodology has been applied to the investigation of the detrital aquifer of the Bajo Andarax (Almería, Spain). The use of principal components analysis is proposed, as a first step, for identifying relevant types of groundwater and the processes that bring about a change in their quality. As a result of this application, three factors were obtained, which were used as three new variables (VI: sulphate influence; V2: thermal influence; and V3: marine influence). Analysis of their spatial distribution was performed through the calculation of experimental and theoretical variograms, which served as input for geostatistical modelling using ordinary block kriging. This analysis has allowed a probabilistic representation of the data to be obtained by mapping the three variables throughout the aquifer for each sampling point. In this way, one can evaluate the spatial and temporal variation of the principal physico-chemical processes associated with the three variables VI, V2 and V3 implicated in the groundwater quality of the detrital aquifer. 相似文献
113.
基于模糊核主成分分析的高光谱遥感影像特征提取研究 总被引：1，自引：0，他引：1
主成分分析(PCA)是一种基于数理统计的线性特征变换方法,对线性结构数据的分析非常有效,但是对非线性的高光谱遥感影像数据,容易造成信息丢失和失真.本文引人模式识别中的模糊理论和核理论,有效克服了以上缺点,得到了很好的影像特征提取效果. 相似文献
114.
Coastline sand waves have been observed at “El Puntal” spit, located on the north coast of Spain. The spit has been monitored by an Argus video system since 2003 and the formation and destruction of sand waves has been observed. Coastline data from the video images are analyzed by means of principal components analysis, obtaining a mean sand wave length of 125–150 m and a maximum amplitude of ≈ 15 m. It is also observed that sand waves reach their maximum amplitude at about 15 days. No propagation of these sand waves is noticed during the approximately two-month-long events analyzed. Sand wave formation and evolution are examined in relation with the prevailing local wave conditions during that period. Incident waves at the west end of the spit approach from the east–northeast, with a very high angle with respect to the shoreline. Field observations suggest that sand waves may result from an instability in alongshore sediment transport caused by moderate-energy waves with a high-angle incidence. 相似文献
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116.
通过分析花岗岩风化壳离子吸附型稀土矿的成矿特征及地质地貌图,利用遥感手段总结出五个步骤确定该类稀土矿表面积,经过去除水系、第四系、高坡度区以及高植被覆盖区后,利用主成分分析法提取羟基异常信息,进一步确定其分布范围,经过与已知稀土矿矿床、矿（化）点分布资料验证,效果良好。 相似文献
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118.
夏小东 《成都信息工程学院学报》2007,22(4):482-485
光照是人脸识别中的一个难题.信号经傅立叶变换后相位谱包含丰富的纹理结构信息,去除幅度谱,对图像进行单纯相位谱重构可以有效地减少光照影响.对角化主成份分析(Diagonal PCA)方法是对主成份分析(PCA)方法的有效改进,其计算量更小识别率更高.采用相位重构图像作为训练样本进行对角化主成份分析来解决光照问题,取得了较为理想的识别效果. 相似文献
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120.
采用气相色谱/质谱方法(GC/MS)对7 种常见润滑油中的生物标志化合物(正构烷烃、姥鲛烷、植烷、甾烷、萜烷、多环芳烃)进行定性分析, 并基于其生物标志化合物指纹信息进行了多元统计分析。结果表明, 润滑油的气相色谱图中不可分辨的混合物(UCM)具有明显优势; 润滑油中含有丰富的甾、萜烷类稠环生物标志化合物, 仅含有非常少量的饱和链烷烃(正构烷烃、姥鲛烷、植烷)和多环芳烃类(目标多环芳烃、烷基化多环芳烃、二苯并噻吩同系物)生物标志化合物; 基于甾、萜烷类生物标志化合物指纹信息的主成分分析与聚类分析所得的结果高度一致, 均可用于有一定差异的润滑油的鉴别分析。 相似文献