激光与光电子学进展, 2020, 57 (22): 221020, 网络出版: 2020-11-10   

基于非线性相关信息熵的SAR图像多分辨率选择及目标识别 下载: 835次

Multi-Resolution Selection of SAR Images and Target Recognition Based on Nonlinear Correlation Information Entropy
作者单位
重庆邮电大学移通学院, 重庆 401520
引用该论文

何洁, 陈欣. 基于非线性相关信息熵的SAR图像多分辨率选择及目标识别[J]. 激光与光电子学进展, 2020, 57(22): 221020.

Jie He, Xin Chen. Multi-Resolution Selection of SAR Images and Target Recognition Based on Nonlinear Correlation Information Entropy[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221020.

参考文献

[1] 李珞茹, 徐新, 董浩, 等. SAR影像极化特征的混合高斯模型与分类[J]. 光学学报, 2019, 39(1): 128002.

    Li L R, Xu X, Dong H, et al. Gaussian mixture model and classification of polarimetric features for SAR images[J]. Acta Optica Sinica, 2019, 39(1): 128002.

[2] 胡涛, 李卫华, 秦先祥. 基于多层深度特征融合的极化合成孔径雷达图像语义分割[J]. 中国激光, 2019, 46(2): 210001.

    Hu T, Li W H, Qin X X. Semantic segmentation of polarimetric synthetic aperture radar images based on multi-layer deep feature fusion[J]. Chinese Journal of Lasers, 2019, 46(2): 210001.

[3] 宿强, 杨景玉, 王阳萍. 基于直觉模糊C核均值聚类算法的合成孔径雷达图像变化检测[J]. 激光与光电子学进展, 2019, 56(19): 192805.

    Su Q, Yang J Y, Wang Y P. Synthetic aperture radar image change detection based on intuitionistic fuzzy C-core mean clustering algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(19): 192805.

[4] 李莹莹, 吴昊, 常学立, 等. 基于星载光学和SAR影像的多视立体定位误差分析[J]. 光学学报, 2018, 38(5): 0528003.

    Li Y Y, Wu H, Chang X L, et al. Multi-view stereo positioning error analysis based on spaceborne optics and SAR images[J]. Acta Optica Sinica, 2018, 38(5): 0528003.

[5] 詹云军, 代腾达, 黄解军, 等. 基于聚类三维块匹配的合成孔径雷达影像滤波算法[J]. 激光与光电子学进展, 2018, 55(4): 041004.

    Zhan Y J, Dai T D, Huang J J, et al. Synthetic aperture radar image filtering based on clustering three-dimensional block-matching[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041004.

[6] El-Darymli K, Gill E W. McGuire P, et al. Automatic target recognition in synthetic aperture radar imagery: a state-of-the-art review[J]. IEEE Access, 2016, 4: 6014-6058.

[7] Mishra AK, MotaungT. Application of linear and nonlinear PCA to SAR ATR[C]//2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA), April 21-22, 2015, Pardubice, Czech, Republic. New York: IEEE, 2015: 349- 354.

[8] 柳小文, 雷军程, 伍雁鹏. 基于二维经验模态分解的合成孔径雷达目标识别方法[J]. 激光与光电子学进展, 2020, 57(4): 041004.

    Liu X W, Lei J C, Wu Y P. Synthetic aperture radar target-recognition method based on bidimensional empirical mode decomposition[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041004.

[9] Cui Z Y, Feng J L, Cao Z J, et al. Target recognition in synthetic aperture radar images via non-negative matrix factorisation[J]. IET Radar, Sonar & Navigation, 2015, 9(9): 1376-1385.

[10] Dong G G, Kuang G Y, Wang N, et al. SAR target recognition via joint sparse representation of monogenic signal[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(7): 3316-3328.

[11] Ding B Y, Wen G J. Target recognition of SAR images based on multi-resolution representation[J]. Remote Sensing Letters, 2017, 8(11): 1006-1014.

[12] Zhang Z Y. Joint classification of multiresolution representations with discrimination analysis for SAR ATR[J]. Journal of Electronic Imaging, 2018, 27(4): 043030.

[13] 蔡德饶, 张婷. 联合多分辨表示的SAR图像目标识别方法[J]. 电子测量与仪器学报, 2018, 32(12): 71-77.

    Cai D R, Zhang T. SAR target recognition based on joint use of multi-resolution representations[J]. Journal of Electronic Measurement and Instrument, 2018, 32(12): 71-77.

[14] Anagnostopoulos G C. SVM-based target recognition from synthetic aperture radar images using target region outline descriptors[J]. Nonlinear Analysis: Theory, Methods & Applications, 2009, 71(12): e2934-e2939.

[15] 谢晴, 张洪. SAR图像多层次正则化增强及在目标识别中的应用[J]. 电子测量与仪器学报, 2018, 32(9): 157-162.

    Xie Q, Zhang H. Multi-level SAR image enhancement based on regularization with application to target recognition[J]. Journal of Electronic Measurement and Instrument, 2018, 32(9): 157-162.

[16] Papson S, Narayanan R M. Classification via the shadow region in SAR imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2): 969-980.

[17] 丁柏圆, 文贡坚, 余连生, 等. 属性散射中心匹配及其在SAR目标识别中的应用[J]. 雷达学报, 2017, 6(2): 157-166.

    Ding B Y, Wen G J, Yu L S, et al. Matching of attributed scattering center and its application to synthetic aperture radar automatic target recognition[J]. Journal of Radars, 2017, 6(2): 157-166.

[18] Ding B Y, Wen G J, Zhong J R, et al. A robust similarity measure for attributed scattering center sets with application to SAR ATR[J]. Neurocomputing, 2017, 219: 130-143.

[19] 李辉. 基于峰值特征高斯混合建模的SAR目标识别[J]. 电子测量与仪器学报, 2018, 32(8): 103-108.

    Li H. SAR target recognition based on Gaussian mixture modeling of peak features[J]. Journal of Electronic Measurement and Instrument, 2018, 32(8): 103-108.

[20] Chen S Z, Wang H P, Xu F, et al. Target classification using the deep convolutional networks for SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(8): 4806-4817.

[21] Du K N, Deng Y K, Wang R, et al. SAR ATR based on displacement- and rotation-insensitive CNN[J]. Remote Sensing Letters, 2016, 7(9): 895-904.

[22] Wagner S A. SAR ATR by a combination of convolutional neural network and support vector machines[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(6): 2861-2872.

[23] 李爱国, 汪保男. 一种非线性新相关信息熵定义及其性质、应用[J]. 信息与控制, 2011, 40(3): 401-407, 412.

    Li A G, Wang B N. The concept of a new nonlinear correlation information entropy and its properties and applications[J]. Information and Control, 2011, 40(3): 401-407, 412.

[24] Wang H D, Yao X. Objective reduction based on nonlinear correlation information entropy[J]. Soft Computing, 2016, 20(6): 2393-2407.

[25] Ji S H, Dunson D, Carin L. Multitask compressive sensing[J]. IEEE Transactions on Signal Processing, 2009, 57(1): 92-106.

何洁, 陈欣. 基于非线性相关信息熵的SAR图像多分辨率选择及目标识别[J]. 激光与光电子学进展, 2020, 57(22): 221020. Jie He, Xin Chen. Multi-Resolution Selection of SAR Images and Target Recognition Based on Nonlinear Correlation Information Entropy[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221020.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!