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
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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.