世界核地质科学2024，Vol.41Issue(1)：185-195,11.DOI:10.3969/j.issn.1672-0636.2024.01.016
重力数据LTHG均衡边界识别方法对比分析及其应用
Comparative study and application of balanced edge enhancement for gravity data based on the LTHG Method
彭莉红 1张伟盟 1程莎莎 1孙栋华 1骆燕 1陈伟1
作者信息
- 1. 核工业航测遥感中心,河北 石家庄 050002||中核集团铀资源地球物理勘查技术(重点实验室),河北 石家庄 050002||河北省航空探测与遥感技术重点实验室,河北 石家庄 050002
- 折叠
摘要
Abstract
The commonly used edge identification method of gradient has the shortcoming of the rapid attenuation of amplitude with buried depth.In this pater,a kind of method based on Logistic function and total horizontal derivative boundary was introduced.A comparative study was carried out between LTHG method and other boundary identification methods:THG,AS,TDR,THDR,TTHG,TAS,TM and NVDR_THDR under three conditions:only positive gravity anomalies,both positive and negative gravity anomalies,and Gaussian noise added to gravity data with both positive and negative gravity anomalies.The applicability and application effect of each method on the equalization ability,resolution ability and anti-noise ability of different buried depth field sources were analyzed.The results show that the identification result of LTHG method does not depend on the burial depth of the field,and it can well identify the boundary of the field source with different burial depths.Compared with other common methods,LTHG method can provide accurate,clear and higher resolution boundary information of field source,which is an effective method for qualitative interpretation of potential field data.Finally,this method was applied to the processing of aerial gravity data in the central Ogaden basin of Ethiopia,and the processing results showed good correlation with the fault structures in the study area.At the same time,more geological details were displayed,and the application effect was good.The LTHG method has advantages in depth equalization,resolution,and noise resistance,and can be promoted in practical production.关键词
LTHG/均衡边界识别/重力数据/欧加登盆地Key words
LTHG/balanced edge identification/gravity data/Ogaden basin分类
天文与地球科学引用本文复制引用
彭莉红,张伟盟,程莎莎,孙栋华,骆燕,陈伟..重力数据LTHG均衡边界识别方法对比分析及其应用[J].世界核地质科学,2024,41(1):185-195,11.
