Analyzing of the advantages of the MM algorithm in increasing the temporal resolution of GPR data
عنوان دوره: نوزدهمین کنفرانس ژئوفیزیک ایران
نویسندگان
1زمین شناسی، دانشگاه پیام نور واحد پرند ، استان تهران، ایران
2ژئوفیزیک، موسسه ژئوفیزیک دانشگاه تهران
3Tehran University
4هیئت علمی
چکیده
In this paper, the advantages of sparse signal processing using the Majorization-Minimization (MM) method in GPR signal compression is investigated. In this method, minimizing the cost function is determined with L1 and L2 norms; also, the banded structures of matrices resulting from the sparse deconvolution problem is regarded. In order to increasing the temporal resolution of the GPR signals, the MM algorithm has been implemented with least-square deconvolution (LSQR) on the synthetic data. Analysis of the outputs reported that the reflection coefficient improved significantly by application of the MM algorithm to the synthetic data compared with the least square deconvolution which only filters the data. The power spectrum after using the MM algorithm shows acceptable compression. Moreover, this algorithm leads to a considerable improvement on the amplitudes so that the hidden anomalies are better restored.
کلیدواژه ها
 
Title
Analyzing of the advantages of the MM algorithm in increasing the temporal resolution of GPR data
Authors
asghar azadi, sadegh moghadam, Behrooz Oskooi, alireza goudarzi
Abstract
In this paper, the advantages of sparse signal processing using the Majorization-Minimization (MM) method in GPR signal compression is investigated. In this method, minimizing the cost function is determined with L1 and L2 norms; also, the banded structures of matrices resulting from the sparse deconvolution problem is regarded. In order to increasing the temporal resolution of the GPR signals, the MM algorithm has been implemented with least-square deconvolution (LSQR) on the synthetic data. Analysis of the outputs reported that the reflection coefficient improved significantly by application of the MM algorithm to the synthetic data compared with the least square deconvolution which only filters the data. The power spectrum after using the MM algorithm shows acceptable compression. Moreover, this algorithm leads to a considerable improvement on the amplitudes so that the hidden anomalies are better restored.
Keywords
Analyzing of the advantages of the MM algorithm in increasing the temporal resolution of GPR data