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Báo cáo hóa học: " Research Article An Entropy-Based Propagation Speed Estimation Method for Near-Field Subsurface Radar Imaging"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Entropy-Based Propagation Speed Estimation Method for Near-Field Subsurface Radar Imaging | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 636458 13 pages doi 10.1155 2010 636458 Research Article An Entropy-Based Propagation Speed Estimation Method for Near-Field Subsurface Radar Imaging Daniel Flores-Tapia1 and Stephen Pistorius2 1 Department of Medical Physics CancerCare Manitoba Winnipeg MB Canada 2 Department of Physics and Astronomy University of Manitoba Winnipeg MB Canada Correspondence should be addressed to Daniel Flores-Tapia daniel.florestapia@cancercare.mb.ca Received 26 June 2010 Revised 12 November 2010 Accepted 14 December 2010 Academic Editor Douglas O Shaughnessy Copyright 2010 D. Flores-Tapia and S. Pistorius. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. During the last forty years Subsurface Radar SR has been used in an increasing number of noninvasive nondestructive imaging applications ranging from landmine detection to breast imaging. To properly assess the dimensions and locations of the targets within the scan area SR data sets have to be reconstructed. This process usually requires the knowledge of the propagation speed in the medium which is usually obtained by performing an offline measurement from a representative sample of the materials that form the scan region. Nevertheless in some novel near-field SR scenarios such as Microwave Wood Inspection MWI and Breast Microwave Radar BMR the extraction of a representative sample is not an option due to the noninvasive requirements of the application. A novel technique to determine the propagation speed of the medium based on the use of an information theory metric is proposed in this paper. The proposed method uses the Shannon entropy of the reconstructed images as the focal quality metric to generate an estimate of the propagation speed in a given scan region. The