赵文智 - 北京师范大学 - 地理科学学部

个人简介

教育经历 2016/08-2017/08, 科罗拉多大学波尔得分校，航天科学与工程系，联合培养博士 2013/09-2018/06，北京大学，地球与空间科学学院，地图学与地理信息系统博士 2009/09-2013/06，山东科技大学，测绘学院，遥感科学与技术学士工作经历 2018/08-2022/09，北京师范大学，地理科学学部遥感科学与工程研究院，讲师 2022/09-至今，北京师范大学，地理科学学部遥感科学与工程研究院，副教授承担课程研究生课程《深度学习与遥感信息智能提取》本科生课程《城市遥感》本科生通识课程《时空大数据与社会感知》科研项目国家自然科学基金委青年项目（62201063），主持北京市自然科学基金青年项目（42192584），主持国家自然科学基金委重大项目《地表异常遥感探测与即时诊断方法》，子课题，负责人中国博士后科学基金一等面上资助项目，主持中国博士后科学基金特别资助项目，主持国家重点研发计划《多灾种综合风险防范服务产品开发与集成平台建设示范》，参与重要奖项第16届中国地理信息科学理论与方法学术年会青年教师论文竞赛（一等奖） 2020年度北京师范大学优秀辅导员 2020年地理学部第二届青教赛一等奖

研究领域

深度学习与遥感大数据、多模态遥感数据耦合、地学知识挖掘与分析

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

K Li, W Zhao*, et al. Predicting Crop Growth Patterns with Spatial–Temporal Deep Feature Exploration for Early Mapping, Remote Sensing, 2023. W Zhao, R Peng, et al. Life-long learning with continual spectral-spatial feature distillation for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2022. K Li, W Zhao*, et al. Multi-branch self-learning Vision Transformer (MSViT) for Crop type mapping with Optical-SAR time-series. Computers and Electronics in Agriculture, 2022. W Zhao, Y Qu, et al. Spatial-aware SAR-optical time-series deep integration for crop phenology tracking. Remote Sensing of Environment, 2022, 276, 113046. R Peng, W Zhao*, et al. Continual Contrastive Learning for Cross-Dataset Scene Classification, Remote Sensing, 2022, 14(20), 5105. W Zhao, S Peng, et al. Contextual-aware Land Cover Classification with U-shaped Object Graph Neural Network (U-OGNN). IEEE Geoscience and Remote Sensing Letters, 2022. W Zhao, D Wu, et al. Hyperspectral image classification with multi-scale graph convolution network. International Journal of Remote Sensing, 2021, 42(21), 8380. X Chen, W Zhao#, et al. Mapping Large-Scale Forest Disturbance Types with Multi-Temporal CNN Framework. Remote Sensing, 2021, 13(24), 5177. W Zhao, Y Qu, et al. Deeply synergistic optical and SAR time series for crop dynamic monitoring. Remote Sensing of Environment, 2020, 247, 111952. (code exe工具) W Zhao, X Chen, et al. Using adversarial network for multiple change detection in bitemporal remote sensing imagery. IEEE Geoscience and Remote Sensing Letters, 2020. (ESI) Y Qu, W Zhao*, et al. Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network, Remote Sensing, 2020, 12(15), 2493. W Zhao, X Chen, J Chen, et al. Sample Generation with Self-Attention Generative Adversarial Adaptation Network (SaGAAN) for Hyperspectral Image Classification. Remote Sensing, 2020, 12(5), 843. (code) W Zhao, L Mou, J Chen, et al. Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2019, 58(4), 2720 - 2731. W Zhao, X Chen, Y Bo, et al. Semisupervised Hyperspectral Image Classification With Cluster-Based Conditional Generative Adversarial Net. IEEE Geoscience and Remote Sensing Letters, 2019, 17(3), 539 - 543. W Zhao, Y Bo, J Chen, et al. Exploring semantic elements for urban scene recognition: Deep integration of high-resolution imagery and OpenStreetMap (OSM). ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 151, 237-250 W Zhao, WJ. Emery, Y Bo, J Chen. Land Cover Mapping with Higher Order Graph-Based Co-Occurrence Model. Remote Sensing, 2018, 10(11). W Zhao, S Du, Q Wang, WJ Emery. Contextually guided very-high-resolution imagery classification with semantic segments. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 132, 48-60. W Zhao, S Du, WJ Emery. Object-based convolutional neural network for high-resolution imagery classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(7), 3386-3396. (code) W Zhao, S Du. Spectral–spatial feature extraction for hyperspectral image classification: A dimension reduction and deep learning approach. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (8), 4544-4554 (ESI / HOT paper, code) W Zhao, S Du. Learning multiscale and deep representations for classifying remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 113, 155-165 (ESI Paper) W Zhao, S Du. Scene classification using multi-scale deeply described visual words, International Journal of Remote Sensing, 2016, 37 (17), 4119-4131. W Zhao, Z Guo, J Yue, X Zhang, L Luo. On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery, International Journal of Remote Sensing 2015, 36 (13), 3368-3379 J Yue, W Zhao, S Mao, H Liu. Spectral–spatial classification of hyperspectral images using deep convolutional neural networks. Remote Sensing Letters 2015, 6 (6), 468-477 (ESI Paper)