基于影像的多源地学数据融合处理及应用

针对地学数据空间性、多源性和多解性的特点,提出了基于影像色觉原理的多源地学数据融合方法.融合的关键是地学信息的图像化,在云南镇康县芦子园地区多源地学数据融合处理中,根据不同时代地层对成矿的贡献,按重要性量化为256级的灰度值,实现地层数据的图像化;物化探异常通过插值生成栅格数据实现图像化;然后,利用图像化的地层、重力、化探、线环构造和遥感影像数据进行RGB合成,通过HIS变换进行多源地学数据融合.融合后的图像能充分显示研究区地层-构造-岩浆复合控矿特征,对进一步的找矿勘探有重要意义.

Merging and applications of multi-sources geological data based on image

A merging processing method of geological data with multi-sources is proposed based on the color principle of image according to the spatial characteristics, multi-sources and multi-solutions of geological data. The key problem in the merging processing is transformation of geological data into images. Strata data can be converted into 256 grade gray values in terms of minerization effects of different strata. Geophysical and geochemical data will be transferred to images by raster data formed by interpolations. These image data and remote sensing image can be integrated in RGB form and then be transformed into HIS to merge the geological data. This method with multi-sources geological data such as remote sensing image, chemical abnormity, gravity and geological map has been successively applied in Luziyuan area. The merged data can give us very good composite controlling characteristics of minerals by strata-structure-magma in the district.