首页> 外文期刊>Economic geology and the bulletin of the Society of Economic Geologists >Characterizing Kimberlite Dilution by Crustal Rocks at the Snap Lake Diamond Mine (Northwest Territories, Canada) using SWIR (1.90-2.36 mu m) and LWIR (8.1-11.1 mu m) Hyperspectral Imagery Collected from Drill Core
【24h】

Characterizing Kimberlite Dilution by Crustal Rocks at the Snap Lake Diamond Mine (Northwest Territories, Canada) using SWIR (1.90-2.36 mu m) and LWIR (8.1-11.1 mu m) Hyperspectral Imagery Collected from Drill Core

机译:使用SWIR(1.90-2.36微米)和LWIR(8.1-11.1微米)从钻芯采集的高光谱图像表征Snap湖钻石矿(加拿大西北地区)在地壳岩石中金伯利岩的稀释度

获取原文
获取原文并翻译 | 示例
           

摘要

Short-wave infrared (SWIR, 1.90-2.36 mu m) and long-wave infrared (LWIR, 8.1-11.1 mu m) hyperspectral images collected using the SisuROCK system were used to develop an automated methodology for generating kimberlite dilution maps. Smoothed and denoised images from two Snap Lake (Northwest Territories, Canada) kimberlite drill cores were processed, and SWIR and LWIR spectral endmembers were extracted from the images with each mineralogical endmember assigned to one of four compositional groups: undiluted kimberlite, microdiluted kimberlite, micro- and macrodiluted kimberlite, and crustal rocks. These endmembers were used to classify the SWIR and LWIR images, and the results were validated using linescan data, drill core logs, petrology reports, and the results of X-ray diffraction, Raman spectroscopy, and Micro-Fourier Transform Infrared (FTIR.) spectroscopy. This study demonstrates that hyperspectral imagery can be used to generate dilution maps for hypabyssal kimberlites that far supersede other current techniques in terms of spatial resolution.
机译:使用SisuROCK系统收集的短波红外(SWIR,1.90-2.36μm)和长波红外(LWIR,8.1-11.1μm)高光谱图像用于开发自动方法来生成金伯利岩稀释图。处理了来自两个Snap Lake(加拿大西北地区,加拿大)金伯利岩钻芯的经平滑和去噪的图像,并从图像中提取了SWIR和LWIR光谱末端成员,每个矿物学末端成员被分配为四个成分组之一:未稀释的金伯利岩,微稀释的金伯利岩,微量-以及宏观稀释的金伯利岩和地壳岩石。这些末端成员用于对SWIR和LWIR图像进行分类,并使用线扫描数据,钻芯测井,岩石学报告以及X射线衍射,拉曼光谱和微傅里叶变换红外(FTIR)的结果对结果进行了验证。光谱学。这项研究表明,高光谱影像可用于生成海柏金伯利岩的稀释图,就空间分辨率而言,它远远取代了其他当前技术。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号