基于航空高光谱和伽马能谱的铀矿勘查集成软件开发与应用

Design,Development and Application of Uranium Exploration Software Based on Airborne Hyperspectral and Radioactivity Data

航空高光谱和航空伽马能谱是当前铀矿勘查领域两类重要的数据源,由于其异构且海量的特性,使数据的处理难度大,处理效率低,协同应用效果不足。在这种情况下开发一款面向航空高光谱和伽马能谱的铀矿勘查集成软件显得尤为重要。文章根据航空高光谱和航空伽马能谱数据的类型及处理方法,开展了针对两种数据应用的集成软件系统的设计。研究引入虚拟总线结构,实现了对不同数据处理模块的调用,并以Visual Basic为主要开发语言,对前台主系统进行搭建。最终利用搭建好的系统,以银根地区的航空高光谱和伽马能谱数据为数据源,完成软件的应用测试。测试结果发现,利用GS融合算法可以较好地保留地表纹理信息,同时丰富图像颜色,从而为铀矿赋矿围岩岩性的准确识别与划分提供参考。

Airborne hyperspectral and gamma spectroscopy are two important data sources in the field of uranium exploration.Due to their massive characteristics,the data processing is difficult and low efficiency,and the collaborative application of different datasets is insufficient.Therefore,it is important to develop an integrated software system for uranium prospecting based on airborne hyperspectral and gamma spectroscopy.In this study,the software was designed based on the characteristics of airborne hyperspectral and radioactivity data type and data processing methods,and the foreground program was developed with Visual Basic language.A virtual thread mechanism is introduced for the foreground program to call the backend data processing program.The remote sensing and gamma-ray data from Yin’gen area were used to test the software.The results show that the GS fusion algorithm can effectively preserve surface texture information and enhance image color,which provides better reference for more accurate lithology classification.