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基于遥感地质异常的综合信息矿产预测方法研究
引用本文:张云峰,李领军,张蓉.基于遥感地质异常的综合信息矿产预测方法研究[J].西北地质,2007,40(B07):104-111.
作者姓名:张云峰  李领军  张蓉
作者单位:[1]中国地质大学(武汉),430074 [2]西北有色地质研究院,710054
摘    要:以滇东北地区为例,通过对遥感地质异常的综合信息矿产预测方法进行了研究。在滇东北地区对ETM遥感图像进行岩性及构造的解译、遥感光谱异常提取等手段获得7项遥感地质异常信息因子,在GIS软件中,利用缓冲带(buffer zone)等方法将线性地质异常转化为面状异常,并通过空间分析确定各种遥感异常与已知矿产当量的关系,计算各主因子的二级因子得分,形成成矿预测栅格图像。通过栅格图像各通道间的复合运算分析进行遥感综合异常的定量圈定,最终在工作区圈定了多个不同级别的遥感综合异常。

关 键 词:遥感地质异常  成矿预测  预测因子  滇东北
文章编号:1009-6248(2007)增刊-0104-08
修稿时间:2007-01-252007-04-25

Study on Ore-Forming Prediction Methods of Synthetic Information from Remote Sensing Geoanomalies
ZHANG Yun-feng, LI Ling-jun, ZHANG Rong.Study on Ore-Forming Prediction Methods of Synthetic Information from Remote Sensing Geoanomalies[J].Northwestern Geology,2007,40(B07):104-111.
Authors:ZHANG Yun-feng  LI Ling-jun  ZHANG Rong
Abstract:By interpreting lithological and structural information of ETM remote sensing image and extracting anomaly message of remote sensing spectral in northeast Yunnan, seven information factors of remote sensing on geoanomalies have been obtained. Using buffer zone method in GIS software, linear geoanomalies are transformed to polygonal anomalies, and then determine the relationship between all sorts of remote sensing geoanomalies and mineralization by spatial analysis. And calculating second level factor score from each primary factor, which forms ore-forming prediction in raster image. By each raster image channel of composition operation analysis, then quantitatively delineate remote sensing synthetic geoanomalies, and finally delineate remote sensing synthetic geoanomalies at different levels in the target area.
Keywords:Remote sensing geoanomalies  ore-forming prediction  prediction factor  northeast Yunnan
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