ID 原文 译文
54677 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.
54678 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.
54679 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;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。 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;Bandpass direction of subband coefficients, by a nonlinear gain function is to restrain noise and enhance the details.
54680 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.
54681 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.
54682 针对星载雷达空间目标成像遇到的距离向回波调制问题,通过对星载平台下空间高速平稳目标运动特性的分析,提出基于分数阶傅里叶变换(fractional Fourier transform,FrFT)和多项式拟合的高精度距离向压缩方法。 Space for spaceborne radar target imaging distance to echo modulation problems, based on the spaceborne platform space smooth high-speed target motion characteristics analysis, put forward based on fractional Fourier transform, fractional Fourier transform, the FrFT) and the compression method of polynomial fitting precision distance.
54683 该方法利用FrFT对空间目标的部分解调回波进行距离向压缩,并结合多项式拟合迭代获取随方位时间变化的径向速度,为距离向压缩提供精确的分数阶旋转角。 The method using FrFT part demodulation echo of space target distance to compression, and combining with polynomial fitting iteration to get the time change of bearing radial velocity, as the distance to the compression to provide accurate fractional rotation Angle.
54684 与传统逆合成孔径雷达(inverse synthetic aperture radar,ISAR)距离向压缩方法相比,该方法能够实现高精度距离向压缩,从而提高成像质量。 With the traditional inverse synthetic aperture radar (inverse synthetic aperture radar, ISAR) distance compared to the compression method, this method can achieve high precision distance to compression, so as to improve the quality of imaging.
54685 仿真实验验证了该方法的有效性。 The simulation results verify the effectiveness of the method.
54686 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.