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《Chinese Journal of Geophysics》 1992-02
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MAXIMUM ENTROPY IMAGE RECONSTRUCTION IN CROSSHOLE TOMOGRAPHY

YIN JUN FENG RUI LI QIAN-SHENG Southeast University Nanjing210018 Institute of Geophysics,State Seismological Burcau,Beijing,1001081  
Maximum entropy image reconstruction (MEIR) is a newly developed imaging method in the world. It adopts entropy of imaging (functional), reaching extremum, as criterion to produce image of good quality and wide dynamic range with stronger exploration in the theory. This paper deals with problems of application of MEIR to well-to-well computerized tomography in geophysics. It places emphasis on the Cambridge algorithm which is the most representative one in all of MEIR algorithms. Convergent condition and range are discussed. The method is given to reduce computer cost and memory capacity. A practical program of MECT is designed. This paper is connected with the electromagnetic profile project of the State Seismological Bureau. The authors adopted program MECT to obtain a cross section of a mining area, and then the result is compared with the results of Back Projection Technique (BPT) and Algebraic Reconstruction Technique (ART), so MEIR's superiority in suppressing noise, having high resolution and less boundary effect is proved. It is discovered that if measurement condition be improved such as to increase the data collection in the measurement system, to set measurement points on the surface, the resolution of MEIR will be farther improved.
【Fund】: 地震科学联合基金
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