化探散点数据的图像化及其和遥感图像的叠合  

Imaging Disperse Geochemistry Data and Overlaying with Remote Sensed Image

作　　者：刘成[1] 金成洙[1] 姚玉增[1] 任群智[1] 

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110004

出　　处：《东北大学学报（自然科学版）》2003年第6期597-599,共3页Journal of Northeastern University(Natural Science)

基　　金：教育部博士点基金资助项目(1999014513)

摘　　要：对存储在数据库中的化探散点数据进行了高精度的图像化·图像化过程主要表现在两个环节:首先,将散点数据转化为取样点图像,并与对应地理区域严格匹配;其次,依据区域化变量理论,利用方位取点加权法对取样点图像进行插值生成化探图像·将配准后的化探图像与遥感图像叠加,发现已知的金矿床和矿化点均处于化探异常范围内,表明了图像化方法的正确性和实用性·The raw disperse geochemistry data in database were made into image in good accu racy. This imaging process is mainly characterised by two sub processes in seque nce. First, the raw geochemistry data were stored in a 2D sparse matrix which fi tting the geography area strictly. Then, based on the theory of regionalized var iable, an interpolation method named statistical weight of angular orientation p oints was applied to make the sparse matrix into image. The resulting image is g eorectified and overlayed with remote sensed image to indicate geochemical abnor mality. Field survey showed that the geochemical abnormality fits the known Au d eposits and mineralised pits very well.

关 键 词：取样点图像 化探插值图像 区域化变量理论 叠合 遥感图像 

分 类 号：P622.3[天文地球—地质矿产勘探]