吴传军 博士生

一、博士生导师

    武汉大学：廖明生

    米兰理工大学：Stefano Tebaldini

二、研究方向

    层析SAR森林生物物理参数反演

三、研究成果

论文成果：

[1] Chuanjun Wu, Xinwei Yang, Yanghai Yu, Stefano Tebaldini, Lu Zhang, and Mingsheng Liao. “Assessment of Underlying Topography and Forest Height Inversion Based on TomoSAR Methods.” Geo-Spatial Information Science 27, no. 2 (2024): 311–26. doi:10.1080/10095020.2022.2083985.

[2] Chuanjun Wu, Stefano Tebaldini, Marco Manzoni, Benjamin Brede , Yanghai Yu, and Mingsheng Liao. "Evaluating Phase Histograms for Remote Sensing of Forested Areas Using L-Band SAR:Theoretical Modeling and Experimental Results"IEEE Trans. Geosci. Remote Sens. (二审小修，已返修)

[3] Wu C, Wang C, Shen P, et al. Forest height estimation using PolInSAR optimal normal matrix constraint and cross-iteration method[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(8): 1245-1249.

[4] 吴传军, 汪长城, 沈鹏, 等. 线性变化消光 S-RVoG 模型的多基线 PolInSAR 森林高度反演[J]. 武汉大学学报 (信息科学版), 2022, 47(1): 149-156.

[5] Manzoni M, Petrushevsky N, Wu C, et al. SAR sensing of the atmosphere: stack-based processing for tropospheric and ionospheric phase retrieval[J]. Geo-spatial Information Science, 2024: 1-14.

[6] Wu C, Tebaldini S, d’Alessandro M M, et al. Sar Tomography And Phase Histogram Techniques For Remote Sensing Of Forested Areas: An Experimental Study Based On Tomosense Data[C]//IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023: 1883-1886.

学术报告：

[1] ESA POLINSAR & BIOMASS 2023:口头报告, The Potential of SAR Tomography and Phase Histogram Techniques for Estimating Forest Structure: An Assessment Based on TomoSense Data. #ID121

[2] IGARSS2023:口头报告, Sar Tomography And Phase Histogram Techniques For Remote Sensing Of Forested Areas: An Experimental Study Based On Tomosense Data.

[3] 龙计划五期2023年度国际学术研讨会：poster+口头报告 A comparison between SAR Tomography and the Phase Histogram Technique for Remote Sensing of Forested Areas at L-Band #ID173