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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >IDENTIFICATION OF IRON OXIDES MINERALS IN WESTERN JAHAJPUR REGION, INDIA USING AVIRIS-NG HYPERSPECTRAL REMOTE SENSING
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IDENTIFICATION OF IRON OXIDES MINERALS IN WESTERN JAHAJPUR REGION, INDIA USING AVIRIS-NG HYPERSPECTRAL REMOTE SENSING

机译:利用AVIRIS-NG高光谱遥感识别印度西部贾哈浦尔地区的铁氧化物矿物。

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Hyperspectral remote sensing is being considered as an advanced technique for mineral identification of surficial deposits. In this research different iron oxides minerals such as limonite, goethite has been identified using AVIRIS-NG airborne hyperspectral remote sensing covering the Omkarpura, Itwa, and Chhabadiya mines area in Jahajpur Bhilwara, Rajasthan, India. AVIRIS-NG has shown robust performance in iron oxide identification in the study area. Mineral spectral signatures of the AVIRIS-NG data were compared with spectra of USGS spectral library, and field investigated mineral spectra of iron oxides and found very promising. The results allow us to conclude that due the high signal to noise ratios of the AVIRIS-NG, it is capable to identify the different iron bearing minerals in the visible and infrared portion of the electromagnetic spectrum.
机译:高光谱遥感被认为是一种用于识别表层沉积物的先进技术。在这项研究中,已使用AVIRIS-NG机载高光谱遥感技术确定了覆盖印度拉贾斯坦邦Jahajpur Bhilwara的Omkarpura,Itwa和Chhabadiya矿区的各种铁氧化物矿物,例如褐铁矿,针铁矿。 AVIRIS-NG在研究区域的氧化铁识别中表现出强大的性能。将AVIRIS-NG数据的矿物光谱特征与USGS光谱库的光谱进行了比较,并且对铁氧化物的矿物光谱进行了实地调查,发现非常有希望。结果使我们得出结论,由于AVIRIS-NG的高信噪比,它能够识别电磁光谱的可见光和红外线部分中的不同含铁矿物。

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