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Radar Imaging Based on Iterative Algorithms
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作者 Qiangfu Zhao, Zhong Wang and Youan KeDept. of Electronic Eng., Beijing Institute of Technology, P.O.Box 327, Beijing 100081, China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1991年第2期91-99,共9页
It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used suc... It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations. 展开更多
关键词 Radar imaging Computerized tomography Discrete model iterative reconstruction algorithm Algebraic reconstruction technique.
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Passive seismic velocity tomography on longwall mining panel based on simultaneous iterative reconstructive technique (SIRT) 被引量:14
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作者 N.Hosseini K.Oraee +1 位作者 K.Shahriar K.Goshtasbi 《Journal of Central South University》 SCIE EI CAS 2012年第8期2297-2306,共10页
Mining operation, especially underground coal mining, always has the remarkable risks of ground control. Passive seismic velocity tomography based on simultaneous iterative reconstructive technique (SIRT) inversion ... Mining operation, especially underground coal mining, always has the remarkable risks of ground control. Passive seismic velocity tomography based on simultaneous iterative reconstructive technique (SIRT) inversion is used to deduce the stress redistribution around the longwall mining panel. The mining-induced microseismic events were recorded by mounting an array of receivers on the surface, above the active panel. After processing and filtering the seismic data, the three-dimensional tomography images of the p-wave velocity variations by SIRT passive seismic velocity tomography were provided. To display the velocity changes on coal seam level and subsequently to infer the stress redistribution, these three-dimensional tomograms into the coal seam level were sliced. In addition, the boundary element method (BEM) was used to simulate the stress redistribution. The results show that the inferred stresses from the passive seismic tomograms are conformed to numerical models and theoretical concept of the stress redistribution around the longwall panel. In velocity tomograms, the main zones of the stress redistribution arotmd the panel, including front and side abutment pressures, and gob stress are obvious and also the movement of stress zones along the face advancement is evident. Moreover, the effect of the advance rate of the face on the stress redistribution is demonstrated in tomography images. The research result proves that the SIRT passive seismic velocity tomography has an ultimate potential for monitoring the changes of stress redistribution around the longwall mining panel continuously and subsequently to improve safety of mining operations. 展开更多
关键词 longwall mining passive seismic velocity tomography simultaneous iterative reconstructive technique (SIRT) boundary element method stress redistribution ground control
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