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】2019年-至今

发表时间:2022-06-23 11:19

2022年

期刊

  1. Jiarui Deng, Hui Bi, Jingjing Zhang, Zehao Liu, and Lingjuan Yu, “Amplitude-phase CNN based SARtarget classifification via complex-valued sparse image,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.(IF: 3.784

  2. Hui Bi, Xingmeng Lu, Yanjie Yin, Weixing Yang, and Daiyin Zhu, “Sparse SAR imaging based on periodic block sampling data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 5213128:1-5213128:12, 2022. (IF: 5.60)

  3. 毕辉, 金双, 王潇, 李勇, 韩冰, 洪文, “基于高分三号SAR数据的城市建筑高分辨率高维成像,” 雷达学报, vol. 11, no. 1, pp. 40-51, 2022.

  4. Yufan Song, Jingjing Zhang, Shuang Jin, Guoxu Li, and Hui Bi, “Spaceborne high-squint SAR sparse imaging based on frequency scaling,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

会议

  1. Zhaoqi Wei, Jingjing Zhang, Liping Wang, Yong Li, Hui Bi, “L1-norm regularization based SAR phase unwrapping: Initial result,” in 2022 International Conference on Information Technology and Intelligent Control, 2022.

  2. Xingmeng Lu, Jingjing Zhang, Yufan Song, Zehao Liu, and Hui Bi, “L1-norm regularization based sparse SAR autofocusing imaging: Initial result,” in 2022 International Conference on Information Technology and Intelligent Control, 2022.

  3. Guoxu Li, Hui Bi, and Yufan Song, “Initial mode design framework of sparse TOPS SAR system,”in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4, Kuala Lumpur,Malaysia, Jul. 17-22, 2022.

  4. Jiarui Deng, Zehao Liu, Jingjing Zhang, and Hui Bi, “CNN based target classifification framework basedon complex sparse SAR image: Initial result,” in IEEE International Geoscience and Remote SensingSymposium (IGARSS), pp. 1-4, Kuala Lumpur, Malaysia, Jul. 17-22, 2022.

  5. Yihang Zhang, Xiao Wang, Jingjing Zhang, and Hui Bi, “Non-destructive damage detection of aircraftthermal protection system with ISAR imaging,” in IEEE International Geoscience and Remote SensingSymposium (IGARSS), pp. 1-4, Kuala Lumpur, Malaysia, Jul. 17-22, 2022.

专利

  1. 毕辉, 宋宇凡, 张晶晶. 一种基于频率变标的星载稀疏SAR斜视成像方法. 专利受理号:202210358775.0

  2. 毕辉, 刘泽昊, 张晶晶, 邓佳瑞. 一种基于迁移学习的稀疏SAR目标分类方法. 专利受理号:202210341565.0

  3. 毕辉, 魏昭琦, 张晶晶, 李勇, 宋宇凡, 王丽平. 一种基于L1范数正则化的SAR相位解缠方法. 专利受理号:202210338788.1

  4. 毕辉, 李国旭, 张晶晶, 宋宇凡, 朱岱寅. 一种基于稀疏TOPS SAR成像模式实现方法. 专利受理号:202210030837.5

  5. 毕辉, 邓佳瑞, 张晶晶, 刘泽昊, 李国旭, 冯静. 一种基于三通道稀疏SAR图像数据的目标分类方法. 专利受理号:202210059372.6

  6. 毕辉, 邓佳瑞, 张晶晶, 刘泽昊. 一种基于稀疏SAR幅度-相位图像数据集的目标分类方法. 专利受理号:202210016812.X

  7. 张晶晶, 卢兴梦, 毕辉, 宋宇凡, 殷严杰. 一种基于L1范数正则化的稀疏SAR自聚焦成像方法. 专利受理号:202210402788.3

  8. 毕辉李国旭,宋宇凡,张晶晶,金双. 一种稀疏滑动聚束SAR成像模式实现方法及装置. 专利受理号: 202210942889.X



2021年

期刊

  1. Hui Bi, Jiarui Deng, Tianwen Yang, Jian Wang, and Ling Wang, “CNN-based target detection and classifification when sparse SAR image dataset is available” IEEE Journal of Selected Topics in AppliedEarth Observations and Remote Sensing, vol. 14, pp. 6815-6826, 2021. (IF: 3.784)

  2. Hui Bi, Jingjing Zhang, Peng Wang, and Guoan Bi, “Airborne FMCW SAR sparse data processing viafrequency scaling algorithm,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 7, pp. 1224-1228, 2021. (IF: 3.966)

  3. Hui Bi, Hao Li, and Wei Liang, “High-squint FMCW SAR imaging via wavenumber domain algorithm,”Wireless Communications and Mobile Computing, vol. 2021, pp.   5551074:1-7, 2021. (IF: 1.819)

  4. Wei Xu, Lihua Zhang, Hui Bi, Pingping Huang, and Weixian Tan, “FDA beampattern synthesis withboth nonuniform frequency offffset and array spacing,” IEEE Antennas and Wireless PropagationLetters, vol. 20, no. 12, pp. 2354-2358, 2021.

会议

  1. Yanjie Yin, Hui Bi, Jingjing Zhang, Bingchen Zhang, Wen Hong, and Yirong Wu, “L2,1/2-norm regularization based unambiguous sparse SAR imaging,” in The 2021 CIE International Conference on Radar, pp. 1-4, Haikou, China, Dec. 15-19, 2021.

  2. Shuang Jin, Hui Bi, Yong Li, Jingjing Zhang, Xiao Wang, and Wen Hong, “High-resolution 3-D and 4-DSAR imaging-The case study of Shenzhen,” in The 2021 CIE International Conference on Radar, pp. 1-4, Haikou, China, Dec. 15-19, 2021.

  3. Zhaoqi Wei, Hui Bi, Jingjing Zhang, Yong Li, and Daiyin Zhu, “L1/2-norm regularization based SARinterferogram generation,” in The 2021 CIE International Conference on Radar, pp. 1-4, Haikou, China, Dec. 15-19, 2021.

  4. Hao Li, Jie Yin, Shuang Jin, Daiyin Zhu, Wen Hong, and Hui Bi, “Synthetic aperture radar tomographyin urban area based on compressive MUSIC,” in 2021 International Conference on Information Technologyand Intelligent Control (CITIC 2021), pp. 1-7, Guilin, China, Jul. 23-25, 2021.

  5. Jiarui Deng, Hui Bi, Yanjie Yin, Xingmeng Lu, and Wei Liang, “Sparse SAR image based automatictarget recognition by YOLO network,” in IEEE International Geoscience and Remote Sensing Symposium(IGARSS), pp. 1-5, Brussels, Belgium, Jul. 11-16, 2021.

  6. Wenjie Shen, Wen Hong, Bing Han, Liangbo Zhao, Yun Lin, Yanping Wang, Qingjun Zhang, Hui Bi,and Weidong Yu, “First result of spaceborne dual-channel spotlight SAR GMTI experiment using ChineseGaofen-3 satellite,” in 13th European Conference on Synthetic Aperture Radar (EUSAR), pp. 280-284, Leipzig, Germany, Mar. 29-Apr. 1, 2021.

专利

  1. 毕辉, 魏昭琦, 李勇, 张晶晶. 一种基于L2,1/2范数正则化的SAR干涉图生成方法. 专利受理号:202111255187.6

  2. 毕辉, 殷严杰, 张晶晶, 卢兴梦. 一种基于L2,1/2范数的无模糊稀疏SAR成像方法. 专利受理号:202111142509.6

  3. 毕辉, 殷严杰, 卢兴梦, 宋宇凡, 尹杰. 基于混合范数的方位向周期采样数据稀疏SAR成像方法和装置. 专利受理号:202110805156.7

  4. 毕辉, 尹杰, 魏昭琦, 殷严杰, 卢兴梦. 一种基于改进RBF的降雨量估计方法. 专利受理号:202110436086.2

  5. 毕辉, 邓佳瑞, 尹杰. 一种基于稀疏复图像的SAR目标识别算法. 专利受理号:202110307198.8


2020年

期刊

  1. Hui Bi, Guoan Bi, Bingchen Zhang, Wen Hong, and Yirong Wu, “From theory to application: Real-timesparse SAR imaging,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2928-2936, 2020. (IF: 5.60)

  2. Hui Bi, Daiyin Zhu, Guoan Bi, Bingchen Zhang, Wen Hong, and Yirong Wu, “FMCW SAR sparse imagingbased on approximated observation: An overview on current technologies,” IEEE Journal of SelectedTopics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 4825-4835, 2020. (IF:3.784)

  3. Hui Bi, Yong Li, Daiyin Zhu, Guoan Bi, Bingchen Zhang, Wen Hong, and Yirong Wu, “An improvediterative thresholding algorithm for L1-norm regularization based sparse SAR imaging,” Science ChinaInformation Sciences, vol. 63, no. 11, pp. 219301:1-3, 2020. (IF: 4.380)

  4. Hui Bi, Yuan Cheng, Daiyin Zhu, and Wen Hong, “Wavelet-based L1/2 regularization for CS-TomoSARimaging of forested area,” Journal of Systems Engineering and Electronics, vol. 31, no. 6, pp. 1160-1166, 2020. (IF: 1.186)

  5. 毕辉, 张冰尘, 洪文, 吴一戎, “基于复图像的稀疏SAR成像方法在高分三号数据上的验证,” 雷达学报, vol. 9, no. 1, pp. 123-130, 2020.

  6. Ying Zhang, Daiyin Zhu, Hui Bi, Gong Zhang, and Henry Leung, “Scattering key-frame extraction forcomprehensive VideoSAR summarization: A spatiotemporal background subtraction perspective,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 7, pp. 4768-4784, 2020.

  7. Peng Wang, Gong Zhang, Hui Bi, and Henry Leung, “Subpixel land cover mapping based on extendedrandom walker,” IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 2, pp. 272-276, 2020.

  8. Weixing Yang, Hui Bi, and Daiyin Zhu, “Improved SAR imaging algorithm with azimuth periodicallymissing data,” IET Radar, Sonar and Navigation, vol. 14, no. 3, pp. 399-406, 2020.

会议

  1. Hui Bi, Daiyin Zhu, and Guoan Bi, “L2,1-norm regularization based sparse SAR imaging from azimuthperiodically sampling data: Initial result,” in International Radar Symposium (IRS2020), pp. 57-61, Warsaw, Poland, Oct. 5-8, 2020.

  2. Hui Bi, Jiarui Deng, Liping Wang, Jin Yin, and Guoan Bi, “Lq-norm regularization based SAR imagefeature enhancement,” in International Radar Symposium (IRS2020), pp. 139-142, Warsaw, Poland, Oct. 5-8, 2020.

  3. Jie Yin, Hui Bi, Feng Tian, Ling Wang, Jiarui Deng, and Jingjing Zhang, “ Simulated calibrator basedpolarimetric weather radar external calibration,” in 13th International Congress on Image and SignalProcessing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1119-1123, Yantai, China, Oct. 17-19, 2020.

  4. Yuan Liu, Lu Wang, Hongwei Liu, Hui Bi, and Guoan Bi, “Novel ISAR range alignment via minimizingentropy of sum range profifile,” in International Radar Symposium (IRS2020), pp. 135-138, Warsaw, Poland, Oct. 5-8, 2020.

专利

  1. 毕辉, 尹杰, 邓佳瑞. 基于模拟定标体的C波段极化气象雷达外定标算法. 专利受理号:202010031349.7

  2. 毕辉, 尹杰, 李昊, 邓佳瑞, 魏昭琦. 一种基于Ainsworth算法的气象雷达外定标方法. 专利受理号:202011548393.1

  3. 尹杰, 毕辉, 邓佳瑞, 杨添文, 汪玲. 一种基于模拟定标体的极化气象雷达外定标算法. 专利受理号:202010541608.0



2019年

期刊

  1. Hui Bi, Jingjing Wang, and Guoan Bi, “Wavenumber domain algorithm based FMCW SAR sparse imaging,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 7466-7475, 2019. (IF: 5.60)

  2. Hui Bi and Guoan Bi, “A novel iterative soft thresholding algorithm for L1 regularization based SARimage enhancement,” Science China Information Sciences, vol. 62, no. 4, pp. 049303: 1-3, 2019. (IF:4.380)

  3. Peng Wang, Gong Zhang, Liguo Wang, Henry Leung, and Hui Bi, “Subpixel land cover mapping basedon dual processing paths for hyperspectral image,” IEEE Journal of Selected Topics in AppliedEarth Observation and Remote Sensing, vol. 12, no. 6, pp. 1835-1848, 2019.

  4. Peng Wang, Lei Zhang, Gong Zhang, Hui Bi, Dalla Mura Mauro, and Chanussot Jocelyn, “Superresolution land cover mapping based on pixel-, subpixel- and subpixel-scale spatial dependence,” IEEEJournal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 12, no. 10, pp. 4082-4098, 2019.

  5. Zhilin Xu, Bingchen Zhang, Hui Bi, Chenyang Wu, and Zhonghao Wei, “Comparison of raw data basedand complex image based sparse SAR imaging methods,” Sensors, vol. 19, pp. 320: 1-12, 2019.

会议

  1. Hui Bi, Guoan Bi, Bingchen Zhang, and Wen Hong, “Real-time data processing in sparse SAR imaging,” in 11th IEEE International Conference on Advanced Infocomm Technology, pp. 228-231, Jinan, China, Oct. 18-20, 2019.

  2. Hui Bi and Guoan Bi, “Performance analysis of iterative soft thresholding algorithm for L1 regularizationbased sparse SAR imaging,” in IEEE Radar Conference: Revolutions in Radar, pp. 1-6, Boston, USA, Apr. 22-26, 2019.