共查询到18条相似文献，搜索用时 687 毫秒
1.
基于ASTER的雅鲁藏布江缝合带泽当-罗布莎蛇绿岩套分析和组分识别 总被引：2，自引：0，他引：2
本文通过对西藏雅鲁藏布江缝合带泽当-罗布莎地区蛇绿岩套的主要岩石组成和蚀变矿物的标准波谱吸收特征分析,比较了标准光谱库的相应岩性光谱吸收特征和ASTER数据波段特征之间的关系,采用连续统去除、比值法和光谱角制图法对ASTER影像数据进行处理及相关岩性和矿物提取。结果表明,蛇绿岩组分岩性中亚铁离子和Fe-OH,Mg-OH的可见-短波红外吸收特征显著,而且有一个宽波长范围的Si-O热红外光谱特征,基于这些光谱特征采用ASTER数据和比值法与光谱角制图法可有效地识别蛇绿岩的主要岩性和相关矿物成分及其空间分布,结果与地质资料基本吻合。 相似文献
2.
运用LANDSAT ETM+和ASTER数据进行岩性分类 总被引：5，自引：0，他引：5
本文评价了运用ASTER和LANDSAT ETM+数据进行岩性制图的性能。分别利用ASTER数据不同波段区图像及其组合,以及ETM+数据进行岩性分类,并探讨了将ASTER和ETM+数据叠加在一起进行了岩性分类; 利用现有地质图对所有分类结果进行了定量评价。结果表明,ASTER数据不同波段的岩性识别能力不同,并且较ETM+数据能更准确地识别岩性。更重要的是,把ASTER与ETM+数据结合在一起进行岩性分类,可获得比用任一数据单独分类更高的分类精度,表明二者的光谱特征具有一定的互补性。 相似文献
3.
ASTER数据包含有从太空测量来自地球表面的多光谱热红外辐射数据。通过对JHU光谱库中岩石矿物热红外光谱特征的分析,以及对ASTER影像TIR波段光谱特征进行分析,利用比值法和光谱角制图法SAM相结合进行石英、砂岩和硅酸盐岩类等造岩矿物识别并在西藏冈底斯东段泽当矿田应用,最后将遥感解译分析结果与该区已的地质资料进行比较。结果表明,ASTER影像TIR波段基本上能识别硅酸盐类造岩矿物,并且对于岩性识别具有很大的应用潜力。 相似文献
4.
用ASETR图像和地统计学纹理进行岩性分类 总被引：9，自引：0，他引：9
运用新获取的ASTER数据可以对岩性进行识别与分类：首先运用地统计学中的变差函数来计算分析几种选定的岩性单元的灰度值空间变化特征；运用ASTER数据的可见光一近红外波段、短波红外(SWIR)波段以及二者的组合进行岩性的分类，分析分类精度的变化。用变差函数作为纹理的计算函数来提取图像纹理，并与原始的光谱数据结合，进行岩性的分类。结果表明，与单纯的光谱分类相比，加入纹理信息可显著改善分类精度；用不同方向的滞后距离提取的图像纹理对图像的分类结果有一定的差异，尤其是对存在明显的各向异性的岩石单元。 相似文献
5.
新疆乌什县北山1:50000填图试点项目位于塔里木盆地西北边缘和西南天山交接部位,海拔较高,地形切割较深,属于典型的高山峡谷区。利用ASTER、SPOT6、GF-2等多源遥感数据,基于典型岩性光谱吸收特征,进行岩性差异信息增强与提取研究,总结出一套基于多源遥感数据进行岩性单元边界划分的方法。以ASTER数据、ASTER与SPOT6协同数据、ASTER与GF-2协同数据等为基础影像数据,并选择最佳波段组合进行RGB彩色合成,从而增强影像差异,结合已有研究区地质资料,初步圈定不同影像单元边界;继而利用矿物丰度指数、SMACC端元丰度提取等方法识别研究区内主要岩性的分布位置和范围;最后结合野外实际调查数据,依据实际地质背景和影像质量进行筛选,获得最终的岩性单元解译图。研究结果为该区进一步进行地层优化划分及对比提供了参考资料。 相似文献
6.
由于传统的岩性分类方法受岩石辐射干扰因素大, 存在"同物异谱"以及"同谱异物"现象, 岩性分类精度低, 所以在深入分析岩石矿物光谱特征基础上, 以西昆仑成矿带地区的二长花岗岩、石英正长岩以及正长岩为研究对象, 基于这3种岩性的实测光谱数据以及先进星载热发射和反射辐射仪(advanced spaceborne theemal emission and reflection radiometer, ASTER)影像数据的波段设置特征, 建立了RI和SI两种光谱指数.利用所建立的RI以及SI光谱指数对ASTER遥感数据进行岩性分类.结果显示, RI和SI两种光谱指数法在提取二长花岗岩时精度达到70%以上, 石英正长岩精度为80%左右, 与最大似然法得到的分类结果相比, 这两种岩性的分类精度明显提高了. 相似文献
7.
目前卫星高光谱数据幅宽小,难以进行大面积矿物填图应用.本文探讨了基于多光谱图像光谱分辨率增强方法(spectral resolution enhancement method,SREM)融合算法,将Hyperion窄幅高光谱和先进星载热发射和反射辐射仪(advanced spaceborne thermal emission and reflection radiometer,ASTER)宽幅多光谱数据进行融合,获得宽幅高光谱数据,从而进行矿物蚀变信息提取的方法和流程.结果表明:(1)原始ASTER数据仅能识别出Al-OH基团,Mg-OH基团和Fe3+离子基团3种矿物,SREM方法能够识别出高岭石、伊利石、绢云母、绿泥石和黄钾铁矾5种蚀变矿物;(2)融合图像矿物提取结果与原始ASTER和Hyperion图像的相对精度分别达到90.56%和92.85%;(3)其中绢云母、伊利石、高岭石与Al-OH基团,黄钾铁矾与Fe3+离子,绿泥石与Mg-OH基团出露区域基本一致.SREM融合数据具有幅宽大和光谱分辨率高的特点,提高了矿物蚀变信息解译精度,该方法对大面积矿物填图具有示范作用. 相似文献
8.
基于ASTER遥感图像的东昆仑造山带岩性信息提取研究 总被引：4，自引：2，他引：2
应用ASTER数据,通过主成分分析和矿物指数等岩性信息提取方法,对东昆仑造山带温泉水库地区进行了岩性信息的遥感识别与提取。研究结果表明,主成分图像和矿物指数图能很好地反映岩石物质组成信息。元古宇结晶灰岩、二叠系灰岩、中三叠统闹仓坚沟组砂岩以及上三叠统八宝山组碎屑岩等分布面积较大的岩石地层单位在ASTER图像上可以识别出来。ASTER图像对基岩裸露区岩性信息进行提取是行之有效的方法,特别是碳酸盐岩及具有不同SiO2含量的沉积岩和火山岩; 但对厚度较小的岩性识别及岩石蚀变还需要进一步研究。 相似文献
9.
遥感技术广泛应用于地质基础调查、矿产资源勘探、环境评估和地质灾害调查等方面。它已从多光谱发展到高光谱阶段,Landsat- 8是目前最具有代表性和最常用的多光谱数据,ASTER具有高的分辨率和多波段特征,资源一号02D(ZY1- 02D)卫星是我国2019年发射的高光谱业务卫星。为了更好地了解多源遥感数据在岩矿识别中的作用,在新疆东天山卡拉麦里地区进行了相关研究。结果表明：Landsat- 8 OLI的PCA变换结果清晰识别了研究区不同的岩性和地层;使用Landsat- 8 OLI、ASTER和ZY1- 02D高光谱数据,分别采取不同的图像端元提取方法,在进行光谱分析的基础上,利用光谱角填图（SAM）即可得到研究区的主要矿物分类图件。通过野外验证,应用GIS技术进行集成和分析,修正相关图件后,便得到了精准的矿物分类综合图。研究表明：多源遥感数据的集成在岩矿识别方面效果良好、前景巨大。 相似文献
10.
遥感技术广泛应用于地质基础调查、矿产资源勘探、环境评估和地质灾害调查等方面。它已从多光谱发展到高光谱阶段,Landsat-8是目前最具有代表性和最常用的多光谱数据,ASTER具有高的分辨率和多波段特征,资源一号02D(ZY1-02D)卫星是我国2019年发射的高光谱业务卫星。为了更好地了解多源遥感数据在岩矿识别中的作用,在新疆东天山卡拉麦里地区进行了相关研究。结果表明：Landsat-8 OLI的PCA变换结果清晰识别了研究区不同的岩性和地层;使用Landsat-8 OLI、ASTER和ZY1-02D高光谱数据,分别采取不同的图像端元提取方法,在进行光谱分析的基础上,利用光谱角填图（SAM）即可得到研究区的主要矿物分类图件。通过野外验证,应用GIS技术进行集成和分析,修正相关图件后,便得到了精准的矿物分类综合图。研究表明：多源遥感数据的集成在岩矿识别方面效果良好、前景巨大。 相似文献
11.
Podiform chromite ore deposits in ultramafic parts of ophiolite rock complexes can be detected using remote sensing data. This study focuses on the discrimination of chromite bearing mineralized zones using Landsat TM and Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data in Abdasht ophiolite complex, south of Iran. Several image processing methods, including Log residual, Decorellation Stretch, Band ratio and Mixture-Tuned Matched-Filtering (MTMF) have been evaluated for lithological mapping using Landsat ETM and ASTER data. The outcome showed that TIR band ratios of ASTER can discriminate quartzite, carbonate and mafic–ultramafic rocks in the ophiolite complex. Log residual, Decorollation Stretch and MTMF methods were more capable than previous published ASTER methods specifically for lithological mapping at a regional scale. New geological map of Abdasht region was produced based on the interpretation of ASTER image processing results and field verification. Consequently, the proposed methods demonstrated the ability of ASTER and Landsat ETM data to provide information for detecting chromite host rock (serpentinized dunites) that is valuable for chromite prospecting in study area. Additionally, the techniques used in this study are subtle for exploration geologist and mine engineering to identify high-potential chromite-bearing zones in the ophiolite complex, minimizing costly and time-consuming field works. 相似文献
12.
Integration of ASTER and landsat TM remote sensing data for chromite prospecting and lithological mapping in Neyriz ophiolite zone,south Iran 
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下载免费PDF全文 Alireza Eslami Majid Ghaderi Sankaran Rajendran Amin Beiranvand Pour Mazlan Hashim 《Resource Geology》2015,65(4):375-388
Chromite deposits in Iran are located in the ophiolite complexes, which have mostly podiform types and irregular in their settings. Exploration for podiform chromite deposits associated with ophiolite complexes has been a challenge for the prospectors due to tectonic disturbance and their distribution patterns. Most of Iranian ophiolitic zones are located in mountainous and inaccessible regions. Remote sensing approach could be applicable tool for choromite prospecting in Iranian ophiolitic zones with intensely rugged topography, where systematic sampling and conventional geological mapping are limited. In this study, Landsat Thematic Mapper (TM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data were used for chromite prospecting and lithological mapping in the Neyriz ophiolitic zone in the south of Iran. Image transformation techniques, namely decorrelation stretch, band ratio and principal component analysis (PCA) were applied to Landsat TM and ASTER data sets for lithological mapping at regional scale. The RGB decorrelated image of Landsat TM spectral bands 7, 5, and 4, and the principal components PC1, PC2 and PC3 image of ASTER SWIR spectral bands efficiently showed the occurrence of major lithological units in the study area at regional scale. The band ratios of 5/3, 5/1, 7/5 applied on ASTER VNIR‐SWIR bands were very useful for discriminating most of rock units in the study area and delineation of the transition zone and mantle harzburgite in the Neyriz ophiolitic complex. Spectral Angle Mapper (SAM) technique was implemented to ASTER VNIR‐SWIR spectral bands for detecting minerals of rock units and especially delineation of the transition zone and mantle harzburgite as potential zones with high chromite mineralization in the Neyriz ophiolitic complex. The integration of information extracted from the image processing algorithms used in this study mapped most of lithological units of the Neyriz ophiolitic complex and identified potential areas of high chromite mineralization (transition zone and mantle harzburgite) for chromite prospecting targets in the future. Furthermore, image processing results were verified by comprehensive fieldwork and laboratory analysis in the study area. Accordingly, result of this investigation indicate that the integration of information extracted from the image processing algorithms using Landsat TM and ASTER data sets could be broadly applicable tool for chromite prospecting and lithological mapping in mountainous and inaccessible regions such Iranian ophiolitic zones. 相似文献
13.
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 总被引：2，自引：1，他引：1
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。 相似文献
14.
Economic important minerals and ore deposits are common in hydrothermal altered serpentinized zone. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite sensor is capable of discrimination of such hydrothermal mineralized zone and detection of hydrothermal altered minerals. In the present study, the hydrothermal altered serpentinized harzburgites of Wadi Hibi area of Northern Oman Mountains have been discriminated by using ASTER VNIR–SWIR spectral bands by image processing methods and the occurrences of Ni-magnesioferrite–magnetite–awaruite in the rocks are studied. The color composite RGB image developed using ASTER spectral bands 8, 4 and 1, mapped well the occurrence of weathered peridotites by pale green to dark blue in colors and discriminated the hydrothermally altered serpentinized rocks by pale brown to dark blue colors due to the strong absorption of OH and Mg–OH molecules that occurred in the serpentine minerals of the rocks in the study area. The ASTER band ratios 4/7, 4/1, and 2/3 × 4/3 RGB images studied are capable of discrimination of hydrothermal mineralized areas more clear by pale blue to purple colors due to the strong absorption of such hydroxyl bearing serpentine minerals. The studied image processing methods are evaluated by applying to the region of Wadi Sarami situated in the Semail ophiolite (Oman). In addition to that, the occurrence of serpentine minerals namely, lizardite and antigorite in the hydrothermally altered serpentinized region are detected qualitatively and quantitatively using Spectral Angle Mapper (SAM) supervised classification image processing method and studied.The interpreted images are verified in the field and checked for the occurrences of minerals including Ni-magnesioferrite, magnetite, pentlandite and awaruite and are confirmed through laboratory studies. Petrographic study of serpentinized harzburgites shows that the rocks consist predominantly of antigorite and lizardite serpentines, olivine and have the opaque minerals assemblage of Ni-magnesioferrite + magnetite + awaruite + pentlandite developed during serpentinization of the rock. The occurrences of such minerals are confirmed by XRD, electron microprobe analyses and spectral measurements in the laboratory.ASTER sensor proved its capability in discriminating the hydrothermal altered serpentinized zone and detecting the mineral occurrences and thus the study recommends the technique to the exploration geologists, scientists and mining geologists for mapping of such rocks and minerals in the similar arid region. 相似文献
15.
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 总被引：9，自引：0，他引：9
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。 相似文献
16.
The southeastern part of the central Iranian Cenozoic magmatic belt contains many areas with copper mineralization. In an analysis of this region, we used the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Enhanced Thematic Mapper plus (ETM+) images to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. The spectral measurements, based on the field samples and satellite‐image‐derived spectra, show dominantly Al–OH (sericite and clays) and Fe–O absorption features in the visible–near infrared to shortwave infrared regions of the spectrum. Silica–bearing rocks, as well as silicic alteration, show an intense Si–O vibrational feature in the thermal infrared wavelength region. We analyzed ASTER/ETM+ images, performed a directed principal component analysis, and used spectral angle mapper to map areas of hydrothermal alteration and iron oxide/hydroxide minerals. The individual principal component images compiled by directed principal component analysis reveal the distribution of individual alteration minerals such as sericite, kaolinite, chlorite, epidote, and quartz. The best results, in terms of mapping the distribution of alteration, were obtained using the spectral angle mapper method. The altered areas were then sampled and the samples subjected to X–ray diffraction analysis, spectral analysis, and thin sections were observed under a microscope. Field observations reveal that more than 98% of the known copper mineralization occurs within the interpreted alteration areas. The present results indicate the great potential of ASTER and ETM+ data for mapping the distribution of alteration and exploring for copper mineralization in areas with a similar climate and geological setting to those of the present study. 相似文献
17.
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. 相似文献
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基于ASTER光谱特征的科技廊带岩性填图:以新疆塔什库尔干地区为例 总被引：3，自引：0，他引：3
科技廊带填图是以解决关键地质问题为目的填图方式,但部分地区海拔高差大,交通不便,给填图工作造成巨大困难。遥感岩性解译可为填图工作提供重要参考。然而,当前主流的遥感岩性解译方法仍是基于地貌纹理等间接解译标志开展的。相对而言,矿物岩石光谱特征作为最为直接和准确的遥感岩性解译标志却少有实例报道。本文基于ASTER遥感影像和岩石光谱特征分析,对部分地区海拔高差较大的新疆塔什库尔干地区进行岩性解译工作,以检验其适用性。在野外工作对研究区岩性类型进行识别和鉴定的基础上,ASTER光谱分析成果影像可较准确显示区内主要岩性类型的地表出露。其中,ASTER热红外波段比可反映区内中高级变质岩、花岗岩类及碳酸盐岩的整体分布特征;在此基础上,ASTER可见光-近红外及短波红外波段比可准确鉴定与Fe~(3+)、Fe~(2+)-硅酸盐、Al-OH、Mg-OH等成分相关的矿物组成(如绿泥石、白云母及石榴子石等),从而对地表岩性出露进行更为细致的识别和分类。研究结果表明基于ASTER光谱特征的岩性填图方法在新疆、西藏等地区有天然的实用性,既可克服区内海拔高、交通不便等困难,又可准确指示地表关键岩性类型的出露情况,可作为科技廊带填图及地质研究工作的重要手段。 相似文献