基于高光谱遥感技术的盐湖富铀水体识别模型构建

The identifying model establishing of Uranium-rich water body in salt lake based on the Hyper-Spectral remote sensing technology

我国盐湖数量众多,且湖水中铀资源含量丰富,但盐湖不同水域铀含量分布不均,高低差异明显。本文以内蒙古二连盆地查干里门诺尔盐湖为例,基于先进的高光谱遥感技术开展了基础性的盐湖富铀水体高光谱遥感识别模型构建研究,对盐湖区不同铀含量湖水进行了室内光谱测试,通过开展光谱噪声去除,光谱包络线去除,基于光谱吸收特征分析技术、光谱一阶和二阶微分技术的不同铀含量水样光谱诊断特征提取,构建了富铀盐湖水的光谱识别模型。基于该模型可快速识别盐湖水体的富铀性,为基于航空/航天遥感技术大面积快速识别盐湖富铀水域提供了技术支撑,对降低盐湖铀资源勘查和分析成本具有重要意义。

There are a large number of salt lakes in China,and the brine is rich in uranium.However,the uranium distribution in different waters of Salt Lake is uneven and the difference is obvious.Taking the CHAGANLIMENNUOER Salt Lake in Erlian Basin of Inner Mongolia as an example,based on the advanced hyper-spectral remote sensing technology,the paper studied the model of hyper-spectral remote sensing identification for uranium-enriched water in Salt Lake,collected the spectrum indoors of lake water samples with different uranium content in Salt Lake,removed the spectral noise and spectral envelope,identified the spectral diagnosis feature of water samples with different uranium content.Based on the spectral first-order differential and spectral second-order differential technique,the paper constructed a spectral diagnostic model for uranium-rich salt lake water.It can quickly identify whether the salt lake water is rich in uranium.It provides the technical support for rapidly and extensively identifying the uranium-rich salt lake water based on the airborne and space-borne remote sensing technology,and it is of great significance for reducing exploration and analysis costs of salt lake rich in uranium resources.