低分辨率激光图像重构存在色彩视觉效果不佳,结构相似度指数低等问题,因此,设计基于色彩视觉传达的低分辨率激光图像重建方法。引入色彩视觉传达技术,填充图像色彩。采用ANC滤波将幅度作为置信度,结合双边滤波器和幅度值域核函数,设计...低分辨率激光图像重构存在色彩视觉效果不佳,结构相似度指数低等问题,因此,设计基于色彩视觉传达的低分辨率激光图像重建方法。引入色彩视觉传达技术,填充图像色彩。采用ANC滤波将幅度作为置信度,结合双边滤波器和幅度值域核函数,设计自适应双边归一化卷积法,滤波处理图像。采用四通道卷积稀疏编码,重建低分辨率激光图像。结果表明,该方法重建图像的色彩视觉传达效果最佳,饱和度为97.2%,亮度、色相、色彩对比度和锐度分别提高7.0%、20°、3.0和0.05 Line Pairs/MM,并且视区平滑性到达0.96,结构相似度指数为0.97,该方法具备了更好的激光图像重建效果。展开更多
Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation n...Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.展开更多
文摘低分辨率激光图像重构存在色彩视觉效果不佳,结构相似度指数低等问题,因此,设计基于色彩视觉传达的低分辨率激光图像重建方法。引入色彩视觉传达技术,填充图像色彩。采用ANC滤波将幅度作为置信度,结合双边滤波器和幅度值域核函数,设计自适应双边归一化卷积法,滤波处理图像。采用四通道卷积稀疏编码,重建低分辨率激光图像。结果表明,该方法重建图像的色彩视觉传达效果最佳,饱和度为97.2%,亮度、色相、色彩对比度和锐度分别提高7.0%、20°、3.0和0.05 Line Pairs/MM,并且视区平滑性到达0.96,结构相似度指数为0.97,该方法具备了更好的激光图像重建效果。
文摘为了进一步提高电学层析成像(ECT)采集系统的测量精度,分析研究了ECT信号的完整性对测量结果的影响。针对测量电容信号微弱、值在p F级别的特点,设计出一种考虑信号完整性的ECT采集系统,其传感器占空比为81%。利用上述系统来分析信号完整性对测量结果的影响。实验结果表明:当正弦激励信号的峰峰值为18.7 V时,采集到的最大信号经过电流/电压(C/V)转换后的电压峰峰值为921 m V,与理论计算结果基本吻合;运用灵敏度矩阵系数算法,在PC上得出了清晰的ECT图像。表明该测量系统满足精度要求。
基金supported by the National Natural Science Foundation of China(Grant Nos.51579086,51479054,51379068&51139001)Jiangsu Natural Science Foundation(Grant No.BK20140039)the Priority Academic Program Development of Jiangsu Higher Education Institutions(Grant No.YS11001)
文摘Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.
