摘要
提出了一种利用无人机搭载遥感设备,利用卫星影像数据的光谱分解技术实现对XX区域铝土矿富集地区的矿物含量的定位和量化,业界已将ASTER影像(VNIR和SWIR波段)与SRTMDEM结合使用,并在野外探测领域得到了验证。利用ASTER图像数据光谱分解的新方法勾勒出富含氧化铝的区域,同时可以获取该地域铝土矿新形成的各种地质与地貌参数;利用各种地质与地貌参数可准确的分析出铝土矿的地域位置,而且还可估算矿床的质量。
In this paper,a method of locating and quantifying the mineral content in the bauxite-rich area of XX area is being used in technology of unmanned aerial vehicle equipped with remote sensing equipment. The utilizing of the spectral decomposition technology of satellite image data has been proposed. The industry has combined ASTER image（ VNIR and SWIR bands） with SRTM-DEM used in combination. It has been validated in the field of field detection. A new method of spectral decomposition of ASTER image data is used to outline the regions rich in alumina. At the same time,various geologic and geomorphological parameters newly formed in this area can be obtained. Various geological and geomorphic parameters can be used to accurately analyze the bauxite Geological location of the mine to assess the quality of the deposit.
作者
林坤
LIN Kun(Xi＇an Aeronautical Polytechnic Institute, Xi＇an, Shanxi 710089, China)
出处
《中国锰业》
2018年第2期17-19,25,共4页
China Manganese Industry
