Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.222
This paper presents a denoising scheme based on the wavelet transform for geophysical projecting data which are contaminated with various levels and types of local cultural noise which were responsible for hindering the valuable information obtained through shallow depth geophysical exploration of archaeological sites. Wavelet transform techniques were tested as a method for decomposing the original geophysical data in order to eliminate the noise levels inherent to the geophysical measurements. Unsupervised classification techniques were employed for the final fusion of different datasets originating from various surveys 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. The scheme is particularly useful in minimizing the cultural noise as much as possible in order to allow the data to be interpreted accurately.
Wavelets, Classification, Fusion, Geophysical data, Denoising, Greece
Guangrong Shen, Apostolos Sarris, "Application of Wavelet Transform in De-noising Geophysical Data", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 223-227, doi:10.1109/CSIE.2009.222