世界核地质科学2023，Vol.40Issue(4)：963-973,11.DOI:10.3969/j.issn.1672-0636.2023.04.007
曲波变换在航空伽马能谱数据处理中的应用研究
Application Effect of Curvelet Transform in Airborne Gamma Spectrum Data Processing
摘要
Abstract
In order to improve the utilization effect of airborne gamma data,research on noise reduction of airborne gamma data based on curvelet transform was carried out in this paper.A set of airborne gamma data noise reduction method based on curvelet transform was established.The airborne gamma data can be reconstructed into data of different scales by using the curvelet transform,which is suitable for data interpretation for different purposes.The coarse-scale data are suitable for the analysis of regional field characteristics,the analysis of migration enrichment patterns,and the characteristics of radial displacement analysis,etc.The fine-scale data are suitable for the distribution and classification of airborne gamma anomalies,and the ultra-fine-scale data are suitable for local anomaly feature analysis and anomaly interpretation;using the multi-scale and multi-directional characteristics of curvelet transform,bands of different scales along the survey line can be removed without losing local anomaly information or resolution deterioration,which is difficult for other noise reduction methods to achieve,and the curvelet reconstructed data after technical processing do not produce boundary effects.Therefore,curvelet transform in airborne gamma data processing is of the advantage of fast and convenient with less information loss,rich results and better effects.关键词
曲波变换/降噪/航空伽马能谱数据处理Key words
curvelet transform/noise reduction/airborne gamma spectrum data processing/application effect分类
天文与地球科学引用本文复制引用
李兵海,卢亚运,张光雅,李江坤,叶发旺,童勤龙,张翔..曲波变换在航空伽马能谱数据处理中的应用研究[J].世界核地质科学,2023,40(4):963-973,11.基金项目
核能开发项目"基于航空高光谱与伽玛能谱的铀矿勘查技术研究"(编号:[2021]88)资助. （编号:[2021]88）
