Wavelet transform in De-noising geophysical data

被引：0
|
作者：
Shen, Guangrong [1 ,2 ]
Sarris, Apostolos [2 ]
Papadopoulos, Nikos [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Lab Digital Agr, 2678 Qi Xin Rd 0086, Shanghai 201101, Peoples R China
[2] Foundat Res & Technol Hellas, Inst Mediterranean Stud, Lab Geophys Satellite Remote Sensing & Archaeo En, Rethimnon 74100, Greece
来源：
PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS, VOL 2: SYSTEMS THEORY AND APPLICATIONS | 2007年
关键词：
wavelets; classification; fusion; geophysical prospection; archaeological data; Sikyon; Greece;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Shallow depth geophysical data from archaeological sites contain various levels and types of noise that hinters the valuable information of the subsurface architectural relics. Wavelet transform techniques were tested as a method for decomposition of the original geophysical data in order to eliminate the noise levels inherent to the geophysical measurements. In addition to the above, unsupervised classification techniques were employed for the final fusion of different datasets, originating from various survey or processing procedures. The resulting images were able to enhance the subsurface targets, eliminating the noise levels and exploiting fully the properties of the geophysical techniques used.
引用
收藏
页码：148 / +
页数：2
相关论文
共 50 条
  • [1] Improving de-noising by coefficient de-noising and dyadic wavelet transform
    Zhu, HL
    Kwok, JI
    Qu, LS
    [J]. 16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 273 - 276
  • [2] Seismic Data De-noising Based on Second Wavelet Transform
    Fu Yan
    Zhang Chunqin
    [J]. 2008 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING, 2008, : 186 - 189
  • [3] Coefficients de-noising method with wavelet transform
    Bakhtazad, A
    Romagnoli, JA
    [J]. WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING VII, 1999, 3813 : 752 - 760
  • [4] Seismic data processing method based on wavelet transform for de-noising
    Lu, Yong
    Huang, Yongming
    Xue, Wei
    Zhang, Guobao
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 3): : S6609 - S6620
  • [5] Seismic data processing method based on wavelet transform for de-noising
    Yong Lu
    Yongming Huang
    Wei Xue
    Guobao Zhang
    [J]. Cluster Computing, 2019, 22 : 6609 - 6620
  • [6] A New Seismic Data De-Noising Method Based on Wavelet Transform
    Fu Yan
    Zhang Chunqin
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 92 - 96
  • [7] Signal de-noising using the wavelet transform and regularization
    John, AS
    Desai, UB
    [J]. 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1861 - 1864
  • [8] Study on de-noising EMR signals with wavelet transform
    Nie, BS
    He, XQ
    Wang, EY
    Dou, LM
    Liu, ZT
    Sa, ZY
    [J]. PROCEEDINGS IN MINING SCIENCE AND SAFETY TECHNOLOGY, 2002, : 498 - 501
  • [9] Image De-noising using Discrete Wavelet transform
    Mohideen, S. Kother
    Perumal, S. Arumuga
    Sathik, M. Mohamed
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (01): : 213 - 221
  • [10] SEMG De-noising based on the Lifting Wavelet Transform
    Luo Zhi-zeng
    Li Ya-fei
    Meng Ming
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 2570 - 2573
12345