首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Potential Utility of Spectral Angle Mapper and Spectral Information Divergence Methods for mapping lower Vindhyan Rocks and Their Accuracy Assessment with Respect to Conventional Lithological Map in Jharkhand, India
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Potential Utility of Spectral Angle Mapper and Spectral Information Divergence Methods for mapping lower Vindhyan Rocks and Their Accuracy Assessment with Respect to Conventional Lithological Map in Jharkhand, India

机译:光谱角映射器的潜在效用和用于在印度贾克拉姆的传统岩性地图测绘下vindhyan岩石的光谱信息分歧方法及其准确性评估

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摘要

In this study, we have evaluated the potential use of spectral mapping algorithms in deriving spectrolithological maps of metasedimentary rocks of Vindhyan group of rocks. In this regard, we have processed visible near infrared (VNIR) and shortwave infrared (SWIR) bands of Advanced Speceborne Thermal Emission and Reflection Radiometer (ASTER) data using similarity based spectral mapping algorithms such as spectral angle mapper (SAM) and spectral information divergence (SID). Laboratory spectra were collected by Fieldspec 3A (c) spectroradiometer for main rock types of study area and the spectra were resampled to ASTER bandwidth to compare laboratory spectra with image spectra of respective rocks. Overall matching of image spectra of rocks with their ASTER resampled laboratory counterparts justified the spectral integrity of these rocks on the image. Therefore, image spectra of rocks were used as end member for deriving spectral maps using SAM and SID method. These maps were compared with the conventional field based lithological map (consequently updated using ASTER false colour image composite and band ratio images). SAM spectral map had over all accuracy of 67.41% and the SID map had overall accuracy of 69.67%. Present study has brought out the fact that spectral mapping algorithms would be useful in deriving moderate accuracy lithological maps even if the sedimentary rocks are of close mineralogy and these rocks have very close reflectance spectra within the spectral bandwidth of ASTER sensor. Spectral maps corroborate well with the discrete geochemical data.
机译:在这项研究中,我们评估了光谱测绘算法在推导Vindhyan岩群变质沉积岩光谱岩性图中的潜在用途。在这方面,我们使用基于相似性的光谱映射算法(如光谱角度映射器(SAM)和光谱信息散度(SID))处理了先进的卫星热发射和反射辐射计(ASTER)数据的可见-近红外(VNIR)和短波红外(SWIR)波段。使用Fieldspec 3A(c)光谱辐射计收集研究区域主要岩石类型的实验室光谱,并将光谱重新采样至ASTER带宽,以将实验室光谱与相应岩石的图像光谱进行比较。岩石的图像光谱与其ASTER重采样实验室对应物的整体匹配证明了这些岩石在图像上的光谱完整性。因此,岩石的图像光谱被用作使用SAM和SID方法导出光谱图的端元。这些地图与传统的基于现场的岩性地图进行了比较(因此使用ASTER假彩色图像合成和波段比图像进行了更新)。SAM光谱图的总体准确率为67.41%,SID图的总体准确率为69.67%。目前的研究表明,即使沉积岩具有紧密的矿物学特征,并且这些岩石在ASTER传感器的光谱带宽内具有非常紧密的反射光谱,光谱制图算法也有助于获得中等精度的岩性图。光谱图和离散的地球化学数据很好地吻合。

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