新疆西准噶尔包古图斑岩铜矿蚀变岩石的光谱特征及其意义

地物的光谱特征是遥感识别地物的主要依据,不同地物的反射光谱具有其特定的吸收特征谱带。利用ASD和PIMA反射光谱测试仪对新疆西准噶尔包古图斑岩铜矿Ⅱ号、Ⅴ号斑岩铜矿岩体的蚀变围岩(地表采样与钻井采样)进行测试,并对结果进行分析总结。根据反射光谱特征谱带获得蚀变矿物的种类,确定了岩体的蚀变矿物组合,得到反射光谱的吸收谷在ASTER数据中所处的波段;对反射光谱曲线进行数学积分,获得ASTER数据中的强吸收波段。将以上2种分析得到的吸收性波段组合应用于蚀变遥感异常信息提取,结果表明蚀变遥感异常与野外地质特征吻合程度较高。反射光谱分析表明确定岩石矿物的反射光谱特征谱带是进行遥感信息提取工作的前提,波段组合选取对提取蚀变遥感异常信息非常重要。     

多光谱遥感技术预测矿产资源的潜能——以蒙古国欧玉陶勒盖铜金矿床为例

建议把蚀变遥感异常作为一个新的找矿参数,文中讨论了蚀变遥感异常的地质基础和光谱前提。在矿床地质学和蚀变矿物光谱参数特征的基础上,编制了一张用于蚀变遥感异常提取及对其地质解释的表格。设计了从ETM+和ASTER数据中提取羟基蚀变矿物组合信息的独特流程方案。这个方案称之为"去干扰异常主分量门限化技术",文中示以简化的流程图。ETM+数据用来研究位于欧玉陶勒盖铜金矿床东北部的汉保各德中酸性火成杂岩体岩性特征,ASTER近红外和短波红外数据用来提取欧玉陶勒盖斑岩铜金矿矿床及其近区的羟基异常,通过选择性主分量分析判断欧玉陶勒盖铜金矿矿床的矿床类型为斑岩型。已知矿区各矿体的羟基异常都十分清晰,此外在矿床西部还发现了三个新的有希望的羟基异常。此工作进一步展示出多光谱遥感技术对于金属矿床的预测具有极好的潜能。     

用ASTER数据提取云南个旧西区矿化蚀变信息

以ASTER影像为数据源、野外实测波谱数据为参考,用光谱角分类法（SAM）在个旧矿区提取矿化蚀变信息。为剔除假“异常”信息,用ASTER热红外波段的比值计算定义硅酸盐、碳酸盐和超基性岩指数作RGB合成得反应岩性信息的影像,据此确定西区重点研究区。在此区域再次用SAM提取矿化蚀变信息,结合用ASTER短波红外数据的比值计算增强的构造信息,分析提取的重点研究区矿化蚀变信息结果,为该矿区找矿工作提供了参考。     

西藏冈底斯地区斑岩铜矿识别的最佳多光谱遥感异常判据研究

文章应用多光谱遥感技术,对冈底斯斑岩铜矿带的实例(驱龙、甲玛、朱诺、冲江、夏玛日等矿床)进行了研究和总结,包括ASTER和ETM+数据技术特征、蚀变异常找矿的地质依据、蚀变异常提取的波谱前提、多光谱矿致遥感异常提取的常见技术方法、去干扰异常主分量门限化技术流程、冈底斯斑岩铜矿带找矿模型最佳遥感异常判据研究等.确定了ASTER主分量分析提取的羟基异常OHA6、OHA5同心套合异常可做为斑岩铜矿的最佳多光谱遥感异常判据,在从夏玛日至朱诺的13景共46万平方公里的ASTER提取异常中,依此判据圈定了冈底斯20处有潜能的斑岩铜矿异常.此外,还对夏玛日景遥感异常进行了解译,并提出了3处钻孔孔位建议.     

多源遥感数据空间叠合找矿效果研究——以内蒙古西部朱拉扎嘎金矿为例

以内蒙西部朱拉扎嘎金矿为例,利用航空遥感ETM^＋数据和ASTER数据分别提取褐铁矿化蚀变异常,将提取结果与地质特征、地球化学特征对比分析,分析结果显示,两种数据源分别提取的异常分布范围不完全一致,但在朱拉扎嘎金矿区都有异常显示。野外验证,矿区普遍发育褐铁矿化蚀变。因此推断,在同一地区,利用ETM^＋数据和ASTER数据分别提取蚀变异常,异常同时出现的地区（叠合区）找矿的可能性大。     

基于ASTER数据的矿化蚀变遥感异常提取技术方法——在青海祁漫塔格成矿带虎头崖矿区的应用

以ASTER遥感影像为数据源，对青海祁漫塔格成矿带虎头崖矿区，应用成像光谱法和主成分分析法对矿区矿化蚀变异常信息进行提取分析。成像光谱方法利用最小噪音分量（MNF）变换、像元纯度指数（PPI），n维可视化（n-Dimensional Visualization）端元识别，并进行混合谐调匹配滤波（MTMF），最终得到矿区的矿物信息分布图。而主成分分析法则选择ASTER1、2、3、4波段提取铁染异常信息，1、3、4、5波段提取矽卡岩化蚀变异常信息，1、3、4、（5+6）/2波段提取蒙脱石、伊利石与绢云母等矿物的蚀变异常信息，1、3、4、8波段提取方解石、黑云母、绿泥石等矿物的蚀变异常信息。利用野外实地踏勘确定的矿床、矿（化）点，在ArcGIS10.1软件中对遥感提取蚀变异常信息进行验证显示，二者吻合效果良好，表明提取结果与数据处理方法较可靠，对于扩大找矿规模和发现矿化富集地段具有重要的指导意义。      

Aster多光谱遥感异常提取在新疆天湖铁矿中的应用

ASTER遥感数据因波段范围宽、波段多,在蚀变异常提取与矿产勘探中有较好的应用前景.据金属矿床常见蚀变矿物光谱特征与ASTER数据波段设置特点,提出硅酸盐铁、Fe~(2+)、白云石等提取的光谱指数.在此基础上研究该数据大气校正、干扰剔除等数据处理技术方法,提出了异常提取技术流程与步骤,在新疆东天山天湖铁矿区进行了试验研究,将矿物提取结果与地质图对比分析,表明提取结果与数据处理技术流程较可靠.     

应用多光谱ASTER数据对ETM遥感异常的定性判别研究——以东昆仑五龙沟为例

文中讨论了新的找矿参数——蚀变遥感异常的地质基础和光谱前提,在矿床地质学和蚀变矿物光谱参数特征的基础上,编制了一张用于遥感异常提取及对其地质解释的表格。ETM遥感异常提取技术已在全国推广,ASTER数据可以在三个方面对已推广的ETM起到重要的补充作用：1.利用短波红外增设的波段,对某些矿致异常区分其矿化（矿床）类型;2.利用增设的热红外波段区分某些岩性;3.可有助于解决ETM因第7波段太宽而产生的许多疑难问题。本文以东昆仑五龙沟为例讨论了ASTER对于解决ETM遥感异常性质判别困难方面的作用。     

西藏地堡那木岗斑岩型铜矿多光谱遥感蚀变矿物组合分带特征

文章基于ASTER和Landsat-8OLI两种多光谱遥感数据,采用高光谱遥感技术混合调谐滤波(MTMF)、多光谱遥感技术相对吸收深度(RBD)、波段比值(BR)等方法提取了西藏多龙矿集区地堡那木岗斑岩型铜金矿床地表的蚀变矿物组合。其结果表明,基于ASTER数据的MTMF技术可将Al—OH矿物划分为白云母+高岭石/蒙脱石和地开石+蒙脱石+累托石两种组合,进一步可细分出斑岩型矿床多光谱遥感地表蚀变矿物组合并呈现出良好的分带特征:地堡那木岗铜金矿床自内而外依次为白云母+高岭石/蒙脱石→地开石+蒙脱石+累托石→Mg—OH类矿物组合,分别对应于前人野外调查所勘测到的的绢英岩化带+泥化带→泥化带→青磐岩化带,Fe3+矿物叠加于绢英岩化带、泥化带及其两带的叠合部位。所提取的多光谱遥感蚀变矿物组合分带特征对该区斑岩型铜金矿床的勘查工作提供了重要的遥感线索,对定位找矿靶区具有指导意义。     

用ASTER数据进行不同类型矿床蚀变异常提取研究

文章在利用多光谱ASTER数据进行不同矿床蚀变异常提取的地质和波谱前提的基础上，对东天山斑岩型Cu矿床、镁铁质岩型Cu-Ni矿床和矽卡岩型Pb-Zn矿床的羟基ASTER蚀变异常提取方法进行了研究；对于铁染异常，利用ASTER数据可提取的只有黄钾铁矾异常。对黄山东Cu-Ni矿及沙泉子Pb-Zn矿的蚀变分带现象进行了初步研究，其结果有助于区分矿床类型。此外还利用多光谱ASTER数据研究了识别某些矿物的可能性。     

Discrimination of Different Erosion Levels of Porphyry Cu Deposits using ASTER Image Processing in Eastern Iran: a Case Study in the Maherabad, Shadan, and Chah Shaljami Areas

The Lut block, eastern Iran, is one of the most extensive Cenozoic magmatic rocks, that show suitable targets for porphyry Cu-Au and high-sulfidation epithermal Au related to porphyry Cu-Au mineralization. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer （ASTER） was used to identify different erosion levels of three porphyry Cu deposits, including Maherabad, Shadan, and Chah Shaljami, located in the Lut block volcanic-plutonic belt. Alteration minerals, including kaolinite, dickite, alunite, jarosite, epidote, chlorite, montmorillonite, muscovite, biotite, orthoclase, gypsum, and quartz, are selected to map different alteration zones and erosion levels. Distributions of end-members are mapped by using the SAM and MTMF in VNIR and SWIR of ASTER bands and the results are evaluated against the field studies. For some end-members, the results of SAM processing are more reliable compared to the MTMF because the latter looses field spectra. The use of angle threshold in the SAM, and MF-score and infeasibility value in the MTMF or low abundance of some end-members, and finally comparison of output images of spectral processing show good correlation with alteration maps. Differentiation and explanation of various erosion levels of porphyry Cu deposits are done successfully by using the ASTER sensor data.     

Detection of hydrothermal mineralized zones associated with listwaenites in Central Oman using ASTER data

Listwaenites are highly altered ultramafic rocks that are potentially associated with economic mineralization and research on these is extremely important worldwide. In the present study, the classification of mineralized listwaenites developed along the serpentinite–amphibolite interface of the Semail Ophiolite, its associated lithology and the zones of alteration and mineralization in the Fanjah Saddle of the Central Oman Mountains region of the Sultanate of Oman are carried out, using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data. The developed band ratioing, Principal Component Analysis (PCA) and the Spectral Angle Mapper (SAM) supervised classification and image processing techniques applied on the ASTER data set have proved their capability for better interpretation and identification of hydrothermally altered rocks and associated mineralization. The hyperspectral tools (Minimum Noise Fraction (MNF), Pixel Purity Index (PPI) and nD-visualizer) extracted end member spectra and SAM classification clearly show the occurrence of minerals and their spatial distributions.The promising results are verified and confirmed in the field by identification of alteration and mineralization such as listwaenites, silicification, serpentinization and talc alteration and are validated further through laboratory analysis. The confirmation of the occurrence of base metal mineralization along the serpentinite–amphibolite interface in listwaenites suggests that detailed investigation in this and other arid regions which have similar geological conditions may locate mineral deposits. The hyperspectral tools applied on ASTER satellite data show that these can be used as a powerful tool to explore the listwaenites and the potential associated mineralization in other arid geographical regions worldwide.     

基于多源遥感数据的成矿远景区圈定——以内蒙古东乌珠穆沁-满都地区为例

基于ETM+遥感数据解译研究区地质构造,利用ASTER数据,采用光谱角填图法（SAM）提取矿化蚀变信息.同时,结合研究区化探异常数据分布特征、岩体的空间展布特征、已有的地质资料等,总结了研究区典型矿床的成矿地质规律,并达到了成矿模型要求.最后,在内蒙古东乌珠穆沁-满都地区进行了成矿远景区的圈定.研究结果表明：结合ETM+和ASTER遥感数据和化探异常数据,建立遥感成矿模型,在圈定成矿远景方面有一定的可行性,该方法值得进一步推广.     

Application of Spectral Angle Mapper Classification to Discriminate Hydrothermal Alteration in Southwest Birjand,Iran, Using Advanced Spaceborne Thermal Emission and Reflection Radiometer Image Processing

The purpose of this study is to evaluate the Spectral Angle Mapper (SAM) classification method for determining the optimum threshold (maximum spectral angle) to unveil the hydrothermal mineral assemblages related to mineral deposits. The study area indicates good potential for Cu-Au porphyry, epithermal gold deposits and hydrothermal alteration well developed in arid and semiarid climates, which makes this region significant for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image processing analysis. Given that achieving an acceptable mineral mapping requires knowing the alteration patterns, petrochemistry and petrogenesis of the igneous rocks while considering the effect of weathering, overprinting of supergene alteration, overprinting of hypogene alteration and host rock spectral mixing, SAM classification was implemented for argillic, sericitic, propylitic, alunitization, silicification and iron oxide zones of six previously known mineral deposits: Maherabad, a Cu-Au porphyry system; Sheikhabad, an upper part of Cu-Au porphyry system; Khoonik, an Intrusion related Au system; Barmazid, a low sulfidation epithermal system; Khopik, a Cu-Au porphyry system; and Hanish, an epithermal Au system. Thus, the investigation showed that although the whole alteration zones are affected by mixing, it is also possible to produce a favorable hydrothermal mineral map by such complementary data as petrology, petrochemistry and alteration patterns.     

ASTER spectral analysis for alteration minerals associated with gold mineralization

This study presents classifications of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery based on spectral analysis of alteration minerals associated with gold mineralization in Abo Marawat area which is located in the Central Eastern Desert of Egypt. Spectral analysis of continuum removed reference spectra of alteration minerals alunite, kaolinite, sericite, and calcite from USGS and JPL spectral libraries show shifts in position, shape, and strength most probably related to changes in sample purity and particle size of analyzed samples. Spectral Information Divergence (SID) classification method proved successful for mapping sericite, calcite, and clay minerals. Spectral Angle Mapper (SAM) classification identified only sericite and calcite alteration minerals. The identified alteration zones are coincidence with the field sampling and geological map of the study area. The microscopic examination of samples collected from the quartz veins and hydrothermally altered wall-rocks from near surface and subsurface at Abu Marawat gold mine shows sericitization, argillaceous, and carbonatization alteration zones. Gold occurs as very fine inclusions in pyrite, chalcopyrite, and sphalerite and also found filling the fractures between chalcopyrite grains. This study concludes that ASTER image classifications using reference spectra are a stable and reproducible technique for mapping gold related hydrothermal alteration zones in areas with no dominant vegetation cover.     

基于ASTER遥感数据的西藏多龙矿集区

矿化蚀变信息的提取对圈定成矿区具有重要意义。近年来,运用多光谱遥感数据进行示矿信息提取得到了长足的发展。常用的示矿信息提取技术方法包括优化的主成分分析方法、比值算法、光谱角算法等。选取西藏改则县多龙地区为研究区,以区内多不杂斑岩型铜矿为典型的已知矿床,基于ASTER遥感数据,运用多种示矿信息提取方法进行靶区圈定综合研究,多种技术方法相互印证,避免了单一算法的局限性,为成矿靶区的圈定提供了更为准确的遥感依据。     

Selection of Less Biased Threshold Angles for SAM Classification Using the Real Value–Area Fractal Technique

The accuracy of classification of the Spectral Angle Mapping (SAM) is warranted by choosing the appropriate threshold angles, which are normally defined by the user. Trial‐and‐error and statistical methods are commonly applied to determine threshold angles. In this paper, we discuss a real value–area (RV–A) technique based on the established concentration–area (C–A) fractal model to determine less biased threshold angles for SAM classification of multispectral images. Short wave infrared (SWIR) bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images were used over and around the Sar Cheshmeh porphyry Cu deposit and Seridune porphyry Cu prospect. Reference spectra from the known hydrothermal alteration zones in each study area were chosen for producing respective rule images. Segmentation of each rule image resulted in a RV–A curve. Hydrothermal alteration mapping based on threshold values of each RV–A curve showed that the first break in each curve is practical for selection of optimum threshold angles. The hydrothermal alteration maps of the study areas were evaluated by field and laboratory studies including X–ray diffraction analysis, spectral analysis, and thin section study of rock samples. The accuracy of the SAM classification was evaluated by using an error matrix. Overall accuracies of 80.62% and 75.45% were acquired in the Sar Cheshmeh and Seridune areas, respectively. We also used different threshold angles obtained by some statistical techniques to evaluate the efficiency of the proposed RV–A technique. Threshold angles provided by statistical techniques could not enhance the hydrothermal alteration zones around the known deposits, as good as threshold angles obtained by the RV–A technique. Since no arbitrary parameter is defined by the user in the application of the RV‐A technique, its application prevents introduction of human bias to the selection of optimum threshold angle for SAM classification.     

基于ASTER遥感数据的西藏多龙矿集区示矿信息的提取

矿化蚀变信息的提取对圈定成矿区具有重要意义。近年来,运用多光谱遥感数据进行示矿信息提取得到了长足的发展。常用的示矿信息提取技术方法包括优化的主成分分析方法、比值算法、光谱角算法等。选取西藏改则县多龙地区为研究区,以区内多不杂斑岩型铜矿为典型的已知矿床,基于ASTER遥感数据,运用多种示矿信息提取方法进行靶区圈定综合研究,多种技术方法相互印证,避免了单一算法的局限性,为成矿靶区的圈定提供了更为准确的遥感依据。     

Application of ASTER and Landsat TM Data for Geological Mapping of Esfandagheh Ophiolite Complex,Southern Iran

This research developed an approach to enable the discrimination of lithological units and detection of host rock of chromitite bodies within ophiolitic complexes using the advanced spaceborne thermal emission and reflection radiometer (ASTER) and Landsat thematic mapper (TM) satellite data. Three main ophiolite complexes located in southern Iran were selected for the study. A specialized band ratio (4/1, 4/5, 4/7) of ASTER, minimum noise fraction (MNF) components and spectral angle mapper (SAM) on ASTER and Landsat TM data were used to distinguish ophiolitic rock units. Results show that the specialized band ratio was able to identify different rock units and serpentinized dunite as host rock of chromitites within ophiolitic complexes. Minimum noise fraction components of ASTER and Landsat TM data are suitable for distinguishing ophiolitic rock complexes at a regional scale. The integration of SAM and feature level fusion used in this investigation discriminated the ophiolitic rock units and provided geological map for the study area, including identification of high potential areas (serpentinite dunite) for chromite exploration targets.