徐丰
教授
个人信息Personal Information
电子邮箱:fengxu@fudan.edu.cn
所在单位:信息科学与工程学院
办公地点:江湾校区交叉2号楼B6027
联系方式:021-65643569
职称:教授
学科:电磁场与微波技术
通信与信息系统
学术荣誉:
2018当选:国家优秀青年基金获得者
曾获荣誉:
2021 曾获荣誉当选: IEEE Trans. GRS 最佳审稿人
2018 曾获荣誉当选: 国家自然科学基金委优青资助
2015 曾获荣誉当选: 复旦大学信息学院院长奖
扫描关注
- [61] SIMULATION OF MULTI-STATION ISAR IMAGING FOR MONITORING A SPACE TARGET: A CASE OF ENVISAT -2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) -2017-01-01 -2017-July
- [62] Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification -IEEE Transactions on Geoscience and Remote Sensing -2017-01-01 -55
- [63] Zero-Shot Learning of SAR Target Feature Space With Deep Generative Neural Networks -IEEE Geoscience and Remote Sensing Letters -2017-01-01 -14
- [64] Recent Advances in Synthetic Aperture Radar Remote Sensing-Systems, Data Processing, and Applications -IEEE Geoscience and Remote Sensing Letters -2017-01-01 -14
- [65] Wishart-Bayesian Reconstruction of Quad-Pol From Compact-Pol SAR Image -IEEE Geoscience and Remote Sensing Letters -2017-01-01 -14
- [66] Polarimetric SAR Image Factorization -IEEE Transactions on Geoscience and Remote Sensing -2017-01-01 -55
- [67] Analytical Modeling of Rough Surface SAR Images Under Small Perturbation Approximation -IEEE Transactions on Geoscience and Remote Sensing -2017-01-01 -55
- [68] 徐丰,徐丰, 深度学习在SAR目标识别与地物分类中的应用 -雷达学报 -2017-01-01 -6
- [69] 徐丰,徐丰, 基于单极化SAR图像的舰船目标检测与分类方法 -科技导报(北京) -2017-01-01 -35
- [70] 徐丰,徐丰, 极化散射的各向异性分析及应用 -复旦学报. 自然科学版 -2017-01-01 -56
- [71] ON POLINSAR SYSTEM REQUIREMENTS FOR FOREST HEIGHT MAPPING -IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM -2018-01-01 -2018-July
- [72] RECONSTRUCTION OF FULL- POL SAR DATA FROM PARTIALPOL DATA USING DEEP NEURAL NETWORKS -IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM -2018-01-01 -2018-July
- [73] INTELLIGENT SHIP RECONGNITION FROM SYNTHETIC APERTURE RADAR IMAGES -IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM -2018-01-01 -2018-July
- [74] LAND COVER GENERATION FROM OPTICAL IMAGE -IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM -2018-01-01 -2018-July
- [75] Modeling em Problem with Deep Neural Networks -2018 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS, ICCEM 2018 -2018-01-01
- [76] Detection and Discrimination of Ship Targets in Complex Background From Spaceborne ALOS-2 SAR Images -IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing -2018-01-01 -11
- [77] Coherent Scattering and PolinSAR Imaging Simulation of Fractal Trees -2018 China International Sar Symposium, Ciss 2018 - Proceedings -2018-01-01
- [78] General Purpose PolSAR Classifier with Convolutional Neural Network -2018 China International Sar Symposium, Ciss 2018 - Proceedings -2018-01-01
- [79] Three-Dimensional Reconstruction From a Multiview Sequence of Sparse ISAR Imaging of a Space Target -IEEE Transactions on Geoscience and Remote Sensing -2018-01-01 -56
- [80] SAR despeckling neural network with logarithmic convolutional product model -International Journal of Remote Sensing -2018-01-01 -39