THE NOISE SUPPRESSION OF MAGNETOTELLURIC SOUNDING DATA BASED ON MULTIPLE STRUCTURAL ELEMENTS MATHEMATICAL MORPHOLOGY FILTERING
LIU Jun-feng1,2, DENG Ju-zhi1, CHEN Hui1, ZHANG Han-tao1, TANG Lei1, GUO Meng-meng1, CHEN Zhi-fu1
1. Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense, East China Institute of Technology, Fuzhou 344000, China; 2. Hunan Nuclear Geology Institute, Changsha 410011, China
Abstract：Mathematical morphological filtering, which is a new type of filtering method based on morphological principle, has been applied successfully in various signal processing problems. Based on the principles of the morphological filtering, the authors introduced a new filter structure for noise cancellation characterized by the multiple structural elements to improve SNR (Signal to Noise Ratio) of MT data in this paper. With numerical simulation, the filtering effect of the multiple structural elements mathematical morphology filtering is demonstrated,which indicates that the multiple structural elements mathematical morphology filtering has a good performance in supressing the noise at a small scale. The results of curve reconstruction of the real magnetotelluric sounding data and the apparent resistance curve show that the generalized morphological filter can suppress the large-scale noise such as square wave and triangular wave. It is shown that the multiple structural elements morphological filtering has a good application value in the noise suppression of magnetotelluric sounding data.
