吉林大学学报(地球科学版) ›› 2018, Vol. 48 ›› Issue (2): 420-432.doi: 10.13278/j.cnki.jjuese.20170266
谭晓迪, 黄大年, 李丽丽, 马国庆, 张代磊
Tan Xiaodi, Huang Danian, Li Lili, Ma Guoqing, Zhang Dailei
摘要: 在位场数据边界识别传统方法理论的基础上,前人研究了各种场源边界增强技术来提高信噪比和定位精度,但仍然存在受噪声影响大、场源边界不够收敛等问题。本文在传统边界识别方法的基础上进行改进,利用小波变换与传统方法相结合来增强对噪声的压制能力,并且提出了幂次变换法对识别出的边界进行有效收敛。将改进方法与传统方法应用于地质体的边界识别;同时选取3种传统数值计算方法,结合模型数据、四川盆地重力异常数据及朱日和地区磁异常数据进行对比分析。结果表明:小波结合幂次变换法能够有效识别出研究区域内地质体的边界,能很好地起到压制噪声的作用;并且识别出的边界收敛,提高了边界识别的精度,在边界识别中取得了良好的效果。
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