CAJ | 학술논문

针对电阻层析成像技术图像重建具有严重病态性的问题，提出了一种稀疏重建算法——快速自适应硬阈值迭代算法，研究了噪声对该算法在电阻层析成像图像重建效果上的影响，并通过仿真和模型实验测试了该算法的性能。结果表明：一定强度范围内的噪声对硬阈值迭代算法、自适应硬阈值迭代算法和快速自适应硬阈值迭代算法的影响较小。快速自适应硬阈值迭代算法成像速度更快，且该算法重建图像的空间分辨率相对其他两种算法也有较大的提高。
침대전조층석성상기술도상중건구유엄중병태성적문제，제출료일충희소중건산법——쾌속자괄응경역치질대산법，연구료조성대해산법재전조층석성상도상중건효과상적영향，병통과방진화모형실험측시료해산법적성능。결과표명：일정강도범위내적조성대경역치질대산법、자괄응경역치질대산법화쾌속자괄응경역치질대산법적영향교소。쾌속자괄응경역치질대산법성상속도경쾌，차해산법중건도상적공간분변솔상대기타량충산법야유교대적제고。
In order to reduce the ill-posed problem of electrical resistance tomography,a new sparse reconstruction algorithm named fast adaptive iterative hard threshold algorithm was proposed. The performance of the algorithm was tested in simulation and model experiment. The effects of noise on the reconstructed results of this algorithm were also investigated. Results show that iterative hard threshold algorithm,adaptive iterative hard threshold algorithm and fast adaptive iterative hard threshold algorithm are robust to noise within low intensity range. The fast adaptive iterative hard threshold algorithm has better convergence speed and higher resolution than the other two algorithms.