摘要
遥感蚀变信息的定量化提取旨在应用遥感图像处理技术和统计学方法,对成矿区域范围内的示矿要素进行增强处理,并以地物光谱特征的统计值为依据,定量化提取与矿化密切相关的蚀变岩层,为快速识别区域成矿远景、直接预测找矿靶区,提供直观的找矿决策依据。通过对铀矿遥感多光谱数据各波段及波段比值进行特征统计分析,提出了铀矿矿化蚀变由含水矿化物、植被指数、综合蚀变因子所影响,确立了定量提取模型。实验结果表明,获取的铀矿蚀变异常对找矿具有一定的参考价值。
The method of quantitative extraction of remote sensing alteration information is order to recognized the altered rock closely related on mineralization.The method involved remote sensing image processing and statistics,enhanced the mineral elements range on research zone,in accordance with statistic eigenvalue of ground object spectral.Which would contribute to the quick recognition the metallogenic prospect.A method of quantitative extraction of alteration information for uranium ore is present.The impact factors are obtained of uranium mineralization alteration was consist of aqueous mineral compound,vegetation index and comprehensive alteration by statistic analyzed the characteristic of bands and band ratios of uranium multi-spectral remote sensing data,and final build a model of quantitative extraction of alteration information.The experiment show,the uranium alteration anomalies using process is a novel method for prospecting.
出处
《科学技术与工程》
北大核心
2013年第23期6676-6680,共5页
Science Technology and Engineering
基金
江西省教育厅青年科学基金(GJJ12397)
核资源与环境省部共建国家重点实验室培育基地(东华理工大学)开放基金(101114)资助
关键词
铀矿蚀变信息
定量提取
统计分析
蚀变因子
uranium alteration information quantitative extraction statistic analysis alteration factor
