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A Study of Seismic Inverse Methods for Radar Signal Processing
Washington, DC October 19-October 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2005.1234th Applied Imagery and Pattern Reco ...
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Aya Sayedelahl, Howard University
R. Phillip Bording, Memorial University of Newfoundland, Canada
Mohamed Chouikha, Howard University
Jianchao Zeng, Howard University
The subject of seismic migration is one of the most varied in seismic data processing. Many algorithms have been developed to perform this task, including Kirchhoff migration, finite-difference reverse time migration, and several types of phase shift migration. The purpose of this study is to investigate the possibility of using seismic inversion algorithms for radar signal processing to improve signal quality and reduce the effects of clutter based on the study of known geophysical inversion algorithms. The finite-difference reverse time migration method was studied in detail since it is one of the most accurate and general depth migration algorithms. It uses the finite difference wave equation modeling as a means of migrating seismic data. Preliminary experiments on the synthetic data generated from different models (a geophysical model and models similar to radar cases) were performed using the reverse-time migration algorithm.
Citation:
Aya Sayedelahl, R. Phillip Bording, Mohamed Chouikha, Jianchao Zeng, "A Study of Seismic Inverse Methods for Radar Signal Processing," aipr, pp.58-62, 34th Applied Imagery and Pattern Recognition Workshop (AIPR'05), 2005
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