高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于修正SSIM的SAR干扰效果评估方法

韩国强 李永祯 王雪松 邢世其 刘庆富

韩国强, 李永祯, 王雪松, 邢世其, 刘庆富. 基于修正SSIM的SAR干扰效果评估方法[J]. 电子与信息学报, 2011, 33(3): 711-716. doi: 10.3724/SP.J.1146.2010.00493
引用本文: 韩国强, 李永祯, 王雪松, 邢世其, 刘庆富. 基于修正SSIM的SAR干扰效果评估方法[J]. 电子与信息学报, 2011, 33(3): 711-716. doi: 10.3724/SP.J.1146.2010.00493
Han Guo-Qiang, Li Yong-Zhen, Wang Xue-Song, Xing Shi-Qi, Liu Qing-Fu. Evaluation of Jamming Effect on SAR Based on Method of Modified Structural Similarity[J]. Journal of Electronics & Information Technology, 2011, 33(3): 711-716. doi: 10.3724/SP.J.1146.2010.00493
Citation: Han Guo-Qiang, Li Yong-Zhen, Wang Xue-Song, Xing Shi-Qi, Liu Qing-Fu. Evaluation of Jamming Effect on SAR Based on Method of Modified Structural Similarity[J]. Journal of Electronics & Information Technology, 2011, 33(3): 711-716. doi: 10.3724/SP.J.1146.2010.00493

基于修正SSIM的SAR干扰效果评估方法

doi: 10.3724/SP.J.1146.2010.00493
基金项目: 

国家自然科学基金重点项目(60802078)资助课题

Evaluation of Jamming Effect on SAR Based on Method of Modified Structural Similarity

  • 摘要: 该文提出了一种基于修正结构相似度的合成孔径雷达干扰效果评估方法。该方法不仅巧妙地利用了结构相似度作为主客观评价的连接纽带,而且结合梯度模与人眼视觉系统多通道特性相匹配的特点,通过非线性处理得到了修正的评估指标GSSIM。仿真结果表明,GSSIM较均方误差、峰值信噪比及相关系数等传统评估指标具有明显的优势,不仅能够更好地反映出干扰对图像ROI的影响,而且能够与人类视觉系统保持高度一致,进一步提升了整套评估系统的效率和准确率。
  • Durand R, Ginolhac G, and Thirion L, et al.. New SAR processor based on matched subspace detectors[J].IEEE Transactions on Aerospace and Electronic Systems.2009, 45(1):221-236[2]韩征, 苏志刚, 韩萍, 等. 基于样本正交子空间的SAR目标识别算法[J].电子与信息学报.2009, 31(11):2581-2584浏览[3]Han Zheng, Su Zhi-gang, and Han Ping, et al.. SAR target recognition method based on orthogonal subspace of samples[J].Journal of Electronics Information Technology.2009, 31(11):2581-2584[5]Liu Ai-ping, Fu Kun, and You Hong-jian, et al.. SAR image segmentation based on multiscale autoregressive and markov random field models[J].Journal of Electronics Information Technology.2009, 31(11):2557-2562[7]Marmolin H. Subjective MSE measures[J].IEEE Transactions on Systems, Man, and Cybernetics.1986, 16(3):486-489[25]Wang Zhou, Bovik A C, and Sheikh H R, et al.. Image quality assessment from error visibility to structure similarity[J].IEEE Transactions on Image Processing.2004, 13(4):600-612[26]Privitera C M and Stark L W. Algorithms for defining visual regions of interest comparison with eye fixation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2000, 22(9):970-980[27]Damera-Venkata N, Kite T D, and Geisler W S, et al.. Image quality assessment based on a degradation model[J].IEEE Transactions on Image Procession.2000, 9(4):636-650[28]Winkler S. Issues in vision modeling for perceptual video quality assessment[J].Signal Processing.1999, 78(3):231-252[29]Karunaseka S A. A distortion measure for blocking artifacts in image based on human visual sensitivity[J].IEEE Transactions on Image Processing.1995, 4(6):713-724[30]Blanding W R, Koch W, and Nickel U. Adaptive phased- array tracking in ECM using negative information[J].IEEE Transactions on Aerospace and Electronic Systems.2009, 45(1):152-166
  • 加载中
计量
  • 文章访问数:  3607
  • HTML全文浏览量:  97
  • PDF下载量:  1396
  • 被引次数: 0
出版历程
  • 收稿日期:  2010-05-18
  • 修回日期:  2010-09-13
  • 刊出日期:  2011-03-19

目录

    /

    返回文章
    返回