ID 原文 译文
51177 在考虑维修零配件需求和战损件修复不确定性的条件下，研究了战场上多产品维修零配件供应优化问题， Considering the maintenance spare parts demand and battle damage repair under the condition of uncertainty, studied the battlefield more product maintenance,
51178 建立了优化问题的数学模型，基于拉格朗日松弛开发了模型的求解算法， spare parts supply optimization mathematical model is established, based on Lagrangian relaxation algorithm of solving the model is developed,
51179 以不同规模的随机测试算例验证了算法的有效性与鲁棒性。 different sizes of random testing example is given to demonstrate the effectiveness and robustness of the algorithm.
51180 针对无损检测红外热波图像对比度低、边缘模糊、含大量噪声的问题，提出了基于Contourlet变换和混沌变异双粒子群优化(adaptive chaotic variation particle swarm optimization，ACPSO)的自适应增强方法。 For the infrared thermal wave nondestructive detection, image contrast is low, edge blur, containing a lot of noise, is proposed based on Contourlet transform and chaos mutation particle swarm optimization (adaptive chaotic variation particle swarm optimization, ACPSO) methods of adaptive enhancement.
51181 红外热波图像经Contourlet变换分解成低通和带通方向子带。 Infrared thermal wave image by Contourlet transform into subband low-pass and band-pass direction.
51182 低通子带系数依据一种适应于人类视觉系统的灰度级变换调整，待定参数由ACPSO确定，为了得到最佳增强效果，适应度函数由一种对比度测量函数确定; Low-pass subband coefficients based on an adaptation of gray level transformation to adjust the human visual system, undetermined parameters are determined by ACPSO, in order to get the best effect, the fitness function determined by a contrast measurement function;
51183 带通方向子带系数的调整则采用非线性增益函数实现，从而抑制噪声并增强细节。 Bandpass direction of subband coefficients, by a nonlinear gain function is to restrain noise and enhance the details.
51184 大量红外热波图像增强实验结果表明，与现有的4种增强方法相比，能大大提高缺陷和背景之间的对比度，增强缺陷的边缘细节。 A large number of experimental results show that the infrared thermal wave image enhancement compared with the existing four enhancement methods, can greatly improve the contrast between the defects and background, enhance the edges of the defect details.
51185 进一步采用倒数熵多阈值分割方法时，能更有效地提取缺陷，为后续准确进行缺陷识别和尺寸测量奠定了基础。 Further using inverse entropy threshold segmentation method, more effectively extract defect, for subsequent accurate defect recognition and measurement laid a foundation.
51186 提出一种稀疏描述与结构特征相结合的极化合成孔径雷达(polarimetric synthetic aperture radar，PolSAR)图像斑点抑制算法。 Put forward a kind of sparse description combined with structure characteristics of polarization synthetic aperture radar (polarimetric synthetic aperture radar, PolSAR) image speckle suppression algorithm.