基于WorldView-Ⅱ高分数据的盐湖矿化度含量定量反演研究——以尕斯库勒盐湖为例  

WV-II High Resolution Data Based Quantitative Inversion of Salinity Content for Salt Lake:A Case Study of Gasikule Salt Lake

作　　者：王俊虎[1] 陆冬华[1] 周觅 武鼎[1] 郝伟林[1] WANG Junhu;LU Donghua;ZHOU Mi;WU Ding;HAO Weilin(National Key Laboratory of Remote Sensing Information and Image Analysis Technology,Beijing Research institute of Uranium Geology,Beijing 100029,China;China National Nuclear Corporation,Beijing 100822,China)

机构地区：[1]核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室,北京100029 [2]中国核工业集团有限公司,北京100822

出　　处：《铀矿地质》2021年第1期78-86,共9页Uranium Geology

基　　金：YY项目“尖兵、高分卫星hjbkz检测应用研究”(编号:遥JK2016-1)资助。

摘　　要：鉴于盐湖水体矿化度含量定量反演研究较少,且中、低空间分辨率遥感数据反演的矿化度含量精度偏低,文章以柴达木盆地西部尕斯库勒盐湖为例,基于WorldView-Ⅱ高空间分辨率遥感数据和实测矿化度数据,开展了盐湖湖表水体矿化度含量定量反演技术研究。通过开展盐湖水际线提取、盐湖水体矿化度光谱诊断特征分析、矿化度识别遥感指数构建、矿化度遥感信息分离和线性回归模拟,构建了盐湖矿化度含量定量反演模型。经评价,模型反演精度为96.61%。研究结果表明,基于WorldView-II高分数据定量反演盐湖矿化度含量的方法是有效的,该方法对于快速定量识别盐湖矿化度含量,降低盐湖矿化度调查和分析成本,预测富矿水域具有十分重要的意义。Remote sensing study on quantitative inversion of salinity content for salt lake water is few reported and the inversion accuracy is lower due to low spatial resolution of the image.In this paper,high spatial resolution WorldView-II image was used to quantitatively inverse the brine salinity content in Gasikule salt lake in the western Qaidam Basin.A quantitative inversion model of brine salinity content for the salt lake was constructed,based on the research of lake boundary extraction,analysis of spectral diagnostic characteristics of salinity,construction of remote sensing index for salinity identification,separation of salinity information and linear regression simulation.The model’s inversion accuracy reached 96.61%by comparing to the measured data.The research results showed that the quantitative inversion WV-2 high resolution data based method is effective and can be used to quickly and quantitatively evaluate brine rich mineral resource of salt lake water by reducing the cost of salinity survey and analysis.

关 键 词：WorldView-II 高分数据 矿化度 定量反演 尕斯库勒盐湖 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]