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联合变换相关器

联合变换相关器的相关文献在1994年到2022年内共计147篇,主要集中在自动化技术、计算机技术、物理学、无线电电子学、电信技术 等领域,其中期刊论文124篇、会议论文14篇、专利文献3047408篇;相关期刊63种,包括长春理工大学学报(自然科学版)、厦门大学学报(自然科学版)、集美大学学报(自然科学版)等; 相关会议11种,包括中国兵工学会第十四届测试技术年会暨中国高等教育学会第二届仪器科学及测控技术年会、2007年光电探测与制导技术的发展与应用研讨会、2006年国防光学及光电子学学术研讨会暨中国兵工学会光学专业委员会成立25周年年会等;联合变换相关器的相关文献由251位作者贡献,包括王文生、王红霞、余杨等。

联合变换相关器—发文量

期刊论文>

论文:124 占比:0.00%

会议论文>

论文:14 占比:0.00%

专利文献>

论文:3047408 占比:100.00%

总计:3047546篇

联合变换相关器—发文趋势图

联合变换相关器

-研究学者

  • 王文生
  • 王红霞
  • 余杨
  • 陈宇
  • 何俊发
  • 易红伟
  • 苗华
  • 李英才
  • 黄晓菁
  • 张勇
  • 期刊论文
  • 会议论文
  • 专利文献

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    • 郎利影; 陆佳磊; 于娜娜; 席思星; 王雪光; 张雷; 焦小雪
    • 摘要: 提出了一种基于深度学习的联合变换相关器(JTC)光学图像加密系统新型去噪方法. 针对JTC光学图像加密系统中解密图像噪声的问题, 设计了一种基于生成对抗网络的去噪框架, 并使用密集模块加强特征信息复用, 提高了网络的性能. 该方法通过引入通道注意力机制使网络区分不同通道的权重, 学习各通道之间的关联, 使网络能选择性的加强有用特征信息并抑制无用特征信息; 在损失函数方面, 加入非对抗损失部分,结合对抗损失和生成器模型提高了解密噪声图像中高频信息的恢复质量; 最后重建出高质量的解密图像. 将该方法用于传统的JTC光学图像加密系统, 数值计算和模拟实验结果表明, 该方法可极大地消除JTC光学图像加密系统中噪声影响, 有效地提高JTC光学图像加密系统用于高质量图像加密的有效性和可行性.
    • 徐德芹; 盛朝霞; 马婧
    • 摘要: 为拓宽光学相关识别的应用范围,提高光学相关图像识别的抗干扰性、准确性和并行性,采用了关联成像中的自关联算法,构建了一个新的光学相关识别系统。自关联算法是利用非相干光源实现空间域无透镜傅里叶变换,替代4f系统中第二个傅里叶变换,简化了光路。结果表明:将自关联算法应用到光学相关识别中可以得到与联合变换相关器同样的相关输出,与4f系统一样能够进行相关识别。
    • 徐德芹; 盛朝霞; 马婧
    • 摘要: 为拓宽光学相关识别的应用范围,提高光学相关图像识别的抗干扰性、准确性和并行性,采用了关联成像中的自关联算法,构建了一个新的光学相关识别系统.自关联算法是利用非相干光源实现空间域无透镜傅里叶变换,替代4f系统中第二个傅里叶变换,简化了光路.结果表明:将自关联算法应用到光学相关识别中可以得到与联合变换相关器同样的相关输出,与4f系统一样能够进行相关识别.
    • 张涛; 王宏力; 陆敬辉; 姜伟
    • 摘要: Point Spread Function(PSF)estimation,a method based on joint transform correlation,is put forward to resolve the quality deterioration of the star image imaging resulted from the vibration of missile body.Firstly,within the exposure time of low frame rate CCD camera,a high frame rate CCD camera is used to obtain a continuously translational star image sequence under the condition of vibration;then the consecutive frames of the star image sequence are spliced into a joint input star image.Secondly,joint transform optical correlator is introduced into coordinate transformation as the processor to obtain the relative displacement vector of joint input star image;then interpolation processing is conducted and the consecutive PSF of the fuzzy star image is estimated out.Finally,simulation verification is completed.Results of simulation verification indicate that joint transform correlation method not only effectively overcomes the shortcomings of single fuzzy star image,but also accurately estimates out the PSF of fuzzy star image of spatial transform resulted from angle vibration.%针对弹体振动引起的星图成像质量退化的问题,提出了一种基于联合变换相关的PSF估计方法.首先,在低帧速CCD相机的曝光时间内,利用高帧速CCD相机拍摄得到振动条件下的连续平移星图序列,将星图序列的相邻帧拼接成联合输入星图;其次,采用联合变换光学相关器作为处理器并引入坐标变换进行相关运算,得到联合输入星图的相对位移矢量,插值处理后估计出模糊星图的连续PSF;最后进行仿真验证,仿真结果表明:联合变换相关法不仅有效克服了仅从单幅模糊星图估计PSF存在的多解问题,还较准确地估计出了由角振动引起的空间变化模糊星图的PSF.
    • 宋洁; 孙彦星; 魏全超
    • 摘要: In order to realize the fire control information sharing and data transmission among the war ships during the air-defense combat of the cooperative control and guidance,for the newtechnology that may be used in the air-defense combat of the cooperative control and guidance,a phase image encryption method based on the joint transform correlator (JTC) and fractional Fourier transform (FrFT) is proposed.The original image is encoded into phase function after being scrambled,as the input signal.The encryption system based on JTC enlarged the key space and enhances the security,from Fourier domain to fractional Fourier domain by using fractional Fourier operators.The original image can be retrieved by using the correct key,the correct fractional order and pixel scrambling operators.The feasibility of the proposed encryption method is proved by numerical simulations.%为了满足协同制导防空作战时,编队内各舰艇之间火控级的信息共享及数据传输,对协同制导防空作战通信时,在信息传输过程中可能用到的新技术,提出了基于联合变换相关器(joint transform correlator,JTC)和分数傅里叶变换(fractional Fourier transform,FrFT)的纯相位图像加密方法;加密时,首先将原始图像置乱后编码为相位函数,与相位掩膜相乘后和密钥分别放入联合变换相关器输入平面,成为待加密函数,经过α阶联合分数傅里叶透镜后在输出平面获得密文;解密时,先将密钥放在输入端,经过α阶分数傅里叶变换后与密文相乘,再经过-α阶联合分数傅里叶变换后得到包含原始图像的解密信息,提取其相位,经过反置乱后得到解密图像;数值仿真结果表明,该方法对密钥响应敏感,并有效地提高了解密图像质量、系统的安全性能和抗干扰能力.
    • 文云; 黄晓菁
    • 摘要: 提出一种基于光学小波联合变换相关器的图像识别系统.该系统对光学图像具有较高的识别力,并可实现图像的尺度和旋转不变识别.首先应用对数极坐标-梅林变换对参考图像和待测图像进行预处理,然后同时置于光学联合变换相关器的输入面上,在空间频谱面上通过小波滤波实现图像的光学小波变换,最后在输出面上得到二者的互相关峰.Matlab仿真结果表明,该系统同时排除了因图像尺度变化和旋转造成的干扰,并得到很好的峰噪比和识别力.%An image recognition system based on optical wavelet joint-transform correlatorwas presented to recognize the scale and rotation of the optical image with a high discernment.The referenceand target images were preprocessed by using Logpolar-Mellin Transform before being placed on the input plane of jointtransform correlator at the same time.The optical wavelet transform of the image was realized by the wavelet filter on the spatial frequency spectrum plane.Finally the systemreachedits cross-correlation peak on the output plane.Matlab simulation results showed that the system can eliminate the interference caused by the scaling and rotation of the target image simultaneously,providing good effectiveness for PNR and ACR.
    • 文云; 黄晓菁
    • 摘要: 将光学图像识别技术应用于生物目标的探测,用光学小波变换识别多个血红细胞,以提高系统的识别力.在光学联合变换相关器中,通过空间频谱面上的小波滤波可以实现光学小波变换,构建光学小波联合变换相关器.Matlab仿真结果表明,与传统的联合变换相关器相比,由于小波变换的引入,相关峰尖锐,峰噪比明显增强,峰的半宽度显著减小,在多目标识别中不同位移目标不易受干扰,提高了目标探测能力.
    • 李正; 王文生; 张桂源
    • 摘要: 针对军用装备目标探测的应用需求,设计了一种15倍非制冷式红外变焦系统。该变焦系统工作于8~12μm远红外波段, F数为3,在20~300 mm范围内系统能够连续变焦且像质较好,在最大截止频率为11 lp/mm时,各焦距位置的MTF曲线与衍射极限十分接近。在长焦距、大变倍比的前提下,结构依然紧凑,总长度有效控制在330 mm。在给定公差范围内,像质变化满足实际应用允许的变化范围。最后,该系统与联合变换相关器相结合,完成了对目标的探测实验。实验结果表明,该红外变焦系统能够很好地探测识别目标。%According to the requirements of the military equipments towards targets detecting and tracking , an uncooled infrared optical zooming system with a zoom ratio of 15 is designed .The zooming sys-tem works in the far IR region of 8~12μm with F number of 3.This system can realize continuous zooming between 20~300 mm, and the MTF curves are close to the diffraction limitation at every focal position when the spatial frequency is 11 lp/mm.Under the circumstance of long focal length and large zoom ratio , the system achieves a compact structure , and the total length is less than 330 mm.The changes of image quality can be satisfied according to the tolerance confinement of practical applications .At last ,a detecting experi-ment is accomplished using the zooming system combined with the joint transform correlator .The experi-mental results show that the infrared zooming system can recognize the target excellently .
    • 张肃; 徐春云; 王文生
    • 摘要: Joint transform correlator (JTC) was applied to track the moving target in foggy weather or the other low visibility environment, to solve the low recognition ratio problem caused by low contrast and low visibility characteristic of the target and the background noise interference in this environment, a pre-processing method based on multi-wavelet enhancement was applied, it can use different methods to process the high and low frequency coefficients according to the different feathers of the decomposition coefficients on the basis of the multi-wavelet transform merits, which can make the processed image undistorted, simultaneously enhance the contrast and the target edge, and suppress the background noise. The optical correlation experiments on a large number of moving targets captured in a simulation fog environment show that this method can effectively enhance the efficiency of the moving target tracking in foggy weather environment and verify the feasibility of this algorithm.%在雾天等能见度极低的天气环境下应用联合变换相关器对运动目标进行跟踪识别,针对目标由于灰度对比度极低、能见度差及环境中背景噪声干扰所引起的低识别率问题,提出了一种基于多小波增强的预处理方法,该方法在多小波变换优点的基础上,根据分解后系数的不同特点,采用不同方法分别增强高、低频系数,使处理后的图像在不失真的同时,对比度和目标边缘同时增强,且背景噪声得以抑制。对模拟雾天环境下拍摄的大量运动目标进行光学相关实验,结果表明:该方法能有效提高在雾天天气环境下运动目标的跟踪效率,验证了算法的可行性。
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