NUAA-RSP
南京航空航天大学雷达信号处理毕辉课题组
Radar Signal Processing Group of NUAA

【论文发表情况】2014年-2018年

发表时间：2022-06-23 12:23

期刊

  1. Hui Bi, Guoan Bi, Bingchen Zhang, and Wen Hong, “Complex image based sparse SAR imaging and itsequivalence,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 9, pp. 5006-5014, 2018. (IF: 5.60)

  2. Hui Bi, Bingchen Zhang, XiaoXiang Zhu, Chenglong Jiang, and Wen Hong, “Extended chirp scalingbaseband azimuth scaling based azimuth-range decouple L1 regularization for TOPS SAR imaging viaCAMP,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3748-3763, 2017. (IF: 5.60)

  3. Hui Bi, Bingchen Zhang, XiaoXiang Zhu, Wen Hong, Jinping Sun, and Yirong Wu, “L1 regularizationbased SAR imaging and CFAR detection via complex approximated message passing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 6, pp. 3426-3440, 2017. (IF: 5.60)

  4. Hui Bi, Jianguo Liu, Bingchen Zhang, and Wen Hong, “Baseline distribution optimization and missingdata completion in wavelet based CS-TomoSAR,” Science China Information Sciences, vol. 61, no. 4, pp. 042302:1-9, 2018. (IF: 4.380)

  5. Hui Bi, Bingchen Zhang, XiaoXiang Zhu, and Wen Hong, “Azimuth-range decouple based L1 regularization method for wide ScanSAR imaging via extended chirp scaling,” Journal of Applied RemoteSensing, vol. 11, no. 1, pp. 015007:1-12, 2017. (IF: 1.360)

  6. Hui Bi, Bingchen Zhang, and Wen Hong, “Lq regularization-based unobserved baselines’ data estimationmethod for tomographic SAR inversion,” Journal of Applied Remote Sensing, vol. 10, no. 3, pp. 035014:1-10, 2016. (IF: 1.360)

  7. Hui Bi, Bingchen Zhang, Zhengdao Wang, and Wen Hong, “Lq regularization-based synthetic apertureradar image feature enhancement via iterative thresholding algorithm,” Electronics Letters, vol. 52, no. 15, pp. 1336-1338, 2016. (IF: 1.316)

  8. Hui Bi, Bingchen Zhang, Wen Hong, and Shengli Zhou, “Matrix completion based airborne tomographicSAR inversion under missing Data,” IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 11, pp. 2346-2350, 2015. (IF: 3.966)

  9. Hui Bi, Chenglong Jiang, Bingchen Zhang, Zhengdao Wang, and Wen Hong, “Radar change imaging withundersampled data based on matrix completion and Bayesian compressive sensing,” IEEE Geoscienceand Remote Sensing Letters, vol. 12, no. 7, pp. 1546-1550, 2015. (IF: 3.966)

  10. Hui Bi, Bingchen Zhang, and Wen Hong, “Matrix completion-based distributed compressive sensing forpolarimetric SAR tomography,” Science China Information Sciences, vol. 58, no. 11, pp. 119301:1-3, 2015. (IF: 4.380)

  11. 毕辉, 张冰尘, 洪文, “基于RIPless理论的层析SAR成像航迹分布优化方法,” 航空学报, vol. 37, no. 2, pp. 680-687, 2016.

  12. 毕辉, 蒋成龙, 王万影, 张冰尘, 洪文, “层析合成孔径雷达成像航迹分布优化方法,” 系统工程与电子技术, vol. 37, no. 8, pp. 1787-1792, 2015.

  13. Chenyang Wu, Zhonghao Wei, Hui Bi, Bingchen Zhang, Yun Lin, and Wen Hong, “InSAR imagingbased on L1 regularization joint reconstruction via complex approximated message passing,” ElectronicsLetters, vol. 54, no. 4, pp. 237-239, 2018.

  14. 赵克祥, 毕辉, 张冰尘, “基于快速阈值迭代算法的SAR层析成像处理方法,” 系统工程与电子技术, vol. 39, no. 5, pp. 1019-1023, 2017.

  15. Zhonghao Wei, Chenglong Jiang, Bingchen Zhang, Hui Bi, Wen Hong, and Yirong Wu, “WASAR imagingwith backprojection based group complex approximate message passing,” Electronics Letters, vol. 52, no. 23, pp. 1590-1592, 2016.

  16. 田野, 毕辉, 张冰尘, 洪文, “相变图在稀疏微波成像变化检测降采样分析中的应用,” 电子与信息学报, vol. 37, no. 10, pp. 2335-2341, 2015.

  17. 张冰尘, 王万影, 毕辉, 洪文, “基于压缩多信号分类算法的森林区域极化SAR层析成像,” 电子与信息学报,vol. 37, no. 3, pp. 625-630, 2015.

会议

  1. Hui Bi, Guoan Bi, Lu Wang, Xiumei Li, and Xianpeng Wang, “Airborne FMCW SAR sparse imaging: Initial results,” in 23rd International Conference on Digital Signal Processing (IEEE DSP), pp. 1-5, Shanghai, China, Nov. 19-21, 2018.47.

  2. Hui Bi, Guoan Bi, Bingchen Zhang, and Wen Hong, “A novel iterative thresholding algorithm for compleximage based sparse SAR imaging,” in 12th European Conference on Synthetic Aperture Radar (EUSAR), pp. 1-5, Aachen, Germany, Jun. 4-7, 2018.48.

  3. Hui Bi, Bingchen Zhang, XiaoXiang Zhu, Chenglong Jiang, and Wen Hong, “Lq regularization methodfor spaceborne SCANSAR and TOPS SAR imaging,” in 11th European Conference on Synthetic ApertureRadar (EUSAR), pp. 1-4, Hamburg, Germany, Jun. 6-9, 2016.49.

  4. Hui Bi, Bingchen Zhang, XiaoXiang Zhu, Wen Hong, and Yirong Wu, “CFAR detection for the complexapproximated message passing reconstructed SAR image,” in 4th International Workshop on CompressedSensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), pp. 133-137, Aachen, Germany, Sep. 19-22, 2016.

  5. Chenyang Wu, Hui Bi, Bingchen Zhang, Yun Lin, and Wen Hong, “L1 regularization recovered SARimages based interferometric SAR imaging via complex approximated message passing,” in ProceedingSPIE: Image and Signal Processing for Remote Sensing, pp. 1042717: 1-5, Warsaw, Poland, Oct. 4, 2017.

  6. Zhonghao Wei, Bingchen Zhang, Hui Bi, Yun Lin, and Yirong Wu, “Group sparsity based airborne wideangle SAR imaging,” in Proceeding SPIE: Image and Signal Processing for Remote Sensing, 10041V, Edinburgh, United Kingdom, Oct. 18, 2016.

  7. Shuguang He, Lei Pang, Xuedong Zhang, Hui Liu, Hui Bi, Liping Ai, Mengxin Sun, and Yong Wang,“SAR tomography imaging based on generalized orthogonal matching pursuit–The case study of Pangu 7star hotel in Beijing,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6665-6668, Beijing, China, Jul. 10-15, 2016.

  8. Zhe Zhang, Bingchen Zhang, Wen Hong, Hui Bi, and Yirong Wu, “SAR Imaging of moving target in asparse scene based on sparse constraints: preliminary experiment results,” IEEE International Geoscienceand Remote Sensing Symposium (IGARSS), pp. 2844-2847, Milan, Italy, Jul. 26-31, 2015.

  9. Wanying Wang, Bingchen Zhang, Wen Hong, and Hui Bi, “Polarimetric SAR tomography of forested areasbased on compressive music,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-5, Quebec City, Canada, Jul. 13-18, 2014.

专利

  1. 毕辉, 魏中浩, 张冰尘, 洪文, 吴一戎. 一种适用于恒虚警率检测的稀疏微波成像算法. 专利授权号：ZL201610659853.5

  2. 毕辉, 蒋成龙, 王万影, 张冰尘, 洪文. 一种基于相关系数的层析SAR成像的航迹分布优化方法. 专利授权号：ZL201410436308.0

  3. 毕辉, 张冰尘. 获得稀疏微波成像相变图的方法. 专利授权号：ZL201410225128.8

  4. 张冰尘, 洪文, 毕辉. 利用压缩感知算法处理神经Spike信号的方法. 专利授权号：ZL201310421300.2

  5. 张冰尘, 麦超云, 孙进平, 毕辉, 洪文. 一种基于稀疏频率的雷达通信波形设计方法. 专利授权号：ZL201510152988.8

  6. 张冰尘, 王万影, 毕辉, 蒋成龙, 洪文. 基于压缩多信号分类的层析合成孔径雷达树高测量方法. 专利授权号：ZL201410202897.6

  7. 张冰尘, 魏中浩, 毕辉, 吴一戎. 合成孔径雷达稀疏成像方法. 专利授权号：ZL201610384461.2

  8. 张冰尘, 王欢, 孙进平, 洪文, 蒋成龙, 毕辉. 基于稀疏表示的多传感器航迹融合. 专利受理号：201610196780.0

  9. 洪文, 张群, 陈怡君, 罗迎, 张冰尘, 毕辉. 变PRF条件下雷达目标微动特征提取方法. 专利受理号：201610217515.6

  10. 庞蕾, 刘慧, 张学东, 陈洋, 何曙光, 毕辉, 王勇, 艾立萍, 孙萌鑫, 李林泽, 王志良. 一种基于分段弱正交匹配 追踪的层析SAR三维成像方法. 专利受理号：201611239581.X

  11. 张学东, 庞蕾, 刘慧, 何曙光, 毕辉, 艾立萍, 孙萌鑫, 李林泽, 王志良. 基于广义正交匹配追踪的层析SAR三维点云生成方法. 专利受理号：201611199283.2


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