许雄
副研究员
所属大学: 同济大学
所属学院: 测绘与地理信息学院
个人简介
主要从事多源遥感数据处理、视觉导航定位等领域的研究。主持国家自然科学基金项目3项、国家重点研发计划项目子课题2项、中国博士后科学基金2项,参与及完成国家863计划重大项目、国家973计划、国家自然科学基金重点项目、装发预研等多项项目。获国家教学成果二等奖1项、中国测绘科技进步一等奖3项,发表论文60余篇,其中SCI检索40余篇,申请专利20余项。担任遥感学报编委,Remote Sensing期刊客座主编,中国测绘学会位置服务工作委员会、中国生态学学会第三届生态遥感专业委员会专家委员,是中国首次火星探测任务科学研究团队成员,任多个国内外核心期刊及国际会议审稿人。 教育与工作经历 副研究员,测绘与地理信息学院,同济大学,2018.03 至今 助理研究员,测绘与地理信息学院,同济大学,2013.10-2018.03 博士后,高光谱计算实验室,埃斯特雷马杜拉大学,2014.09-2017.09(合作导师:童小华教授,Antonio Plaza) 工学博士,测绘遥感信息工程国家重点实验室,武汉大学,2008.09-2013.06(博士导师:张良培教授,钟燕飞教授) 工学学士,遥感信息工程学院,武汉大学,2004.09-2008.06 奖励与荣誉 国家教学成果二等奖,2023年 中国测绘学会测绘科学技术一等奖,2023年 中国测绘学会测绘科学技术一等奖,2021年 中国测绘学会测绘科技进步一等奖,2019年 第八届高校GIS论坛优秀教学成果奖,2020年 高校GIS新锐,2020年 《遥感学报》优秀审稿专家,2018年 “挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛全国特等奖 指导教师,2023年 全国大学生测绘学科科技论文竞赛特等奖 指导教师,2022年 同济大学本科生学科竞赛优秀指导教师,2022年
研究领域
多源遥感数据智能处理、融合与应用,三维重建与视觉导航定位研究
近期论文
Xu, Xiong, Tao Cheng, Beibei Zhao, Chao Wang, Xiaohua Tong, Yongjiu Feng, Huan Xie, and Yanmin Jin. "A Novel Object Detection Method for Solid Waste Incorporating a Weighted Deformable Convolution." Photogrammetric Engineering & Remote Sensing 89, no. 11 (2023): 679-689. Xu X, Pei H, Wang C, et al. Long-term analysis of the urban heat island effect using multisource Landsat images considering inter-class differences in land surface temperature products[J]. Science of The Total Environment, 2023, 858: 159777. Wang C, Li Z, Xu X, et al. Performance of the Large Field of View Airborne Infrared Scanner and its application potential in land surface temperature retrieval[J]. Frontiers of Earth Science, 2023: 1-13. Wang, Chao, Siji Sanlang, Xiaohua Tong, Xiong Xu, Yongjiu Feng, and Zhiyuan Li. "Exploring the effects of the rocket exhaust of the Chang'E-5 lander on the lunar regolith using LROC NAC and landing camera images." Icarus (2023): 115649. 曹子龙, 童小华, 许雄, 叶真, 肖长江. 基于空地影像多层级匹配的火星巡视器定位与地面验证[J]. 测绘学报, 2023, 52(4): 579-587. Liao S, Xu X, Xie H, et al. A Modified Shape Model Incorporating Continuous Accumulated Growing Degree Days for Phenology Detection of Early Rice[J]. Remote Sensing, 2022, 14(21): 5337. Xu X, Zhao B, Tong X, et al. A Data Augmentation Strategy Combining a Modified pix2pix Model and the Copy-Paste Operator for Solid Waste Detection With Remote Sensing Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 8484-8491. Guo Y, Tong X, Xu X, et al. An Anchor-Free Network With Density Map and Attention Mechanism for Multiscale Object Detection in Aerial Images[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. Wang C, Li Z, Xu X, et al. A Coarse-To-Fine Approach to Detect Shadows in the Chang’E-4 VNIS Hyperspectral Images[J]. Earth and Space Science, 2022, 9(7): e2022EA002387. Pan H, Tong X, Xu X, et al. Updating of land cover maps and change analysis using globeland30 product: A case study in shanghai metropolitan area, china[J]. Remote Sensing, 2020, 12(19): 3147. Zhang H, Kang J, Xu X, et al. Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China[J]. Computers and Electronics in Agriculture, 2020, 176: 105618. Xu X, Tong X, Plaza A, et al. A new spectral-spatial sub-pixel mapping model for remotely sensed hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(11): 6763-6778. Zhai H, Zhang H, Xu X, et al. Kernel sparse subspace clustering with a spatial max pooling operation for hyperspectral remote sensing data interpretation[J]. Remote Sensing, 2017, 9(4): 335. Xu X, Tong X, Plaza A, et al. Joint sparse sub-pixel mapping model with endmember variability for remotely sensed imagery[J]. Remote Sensing, 2016, 9(1): 15. Xu X, Tong X, Plaza A, et al. Using linear spectral unmixing for subpixel mapping of hyperspectral imagery: A quantitative assessment[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 10(4): 1589-1600. Xie H, Luo X, Xu X, et al. Automated subpixel surface water mapping from heterogeneous urban environments using Landsat 8 OLI imagery[J]. Remote sensing, 2016, 8(7): 584. Xie H, Luo X, Xu X, et al. Evaluation of Landsat 8 OLI imagery for unsupervised inland water extraction[J]. International Journal of Remote Sensing, 2016, 37(8): 1826-1844. Tong X, Xu X, Plaza A, et al. A new genetic method for subpixel mapping using hyperspectral images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(9): 4480-4491. Feng R, Zhong Y, Xu X, et al. Adaptive sparse subpixel mapping with a total variation model for remote sensing imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(5): 2855-2872. Zhong Y, Wu Y, Xu X, et al. An adaptive subpixel mapping method based on MAP model and class determination strategy for hyperspectral remote sensing imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 53(3): 1411-1426. Xu X, Zhong Y, Zhang L. A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images[J]. Neurocomputing, 2014, 134: 79-91. Tong X, Li X, Xu X, et al. A two-phase classification of urban vegetation using airborne LiDAR data and aerial photography[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(10): 4153-4166. Xu X, Tong X, Zhang L, et al. Unsupervised classification strategy utilizing an endmember extraction technique for airborne hyperspectral remotely sensed imagery[J]. Journal of Applied Remote Sensing, 2014, 8(1): 085090-085090. Xie H, Luo X, Xu X, et al. New hyperspectral difference water index for the extraction of urban water bodies by the use of airborne hyperspectral images[J]. Journal of Applied Remote Sensing, 2014, 8(1): 085098-085098. Xu X, Zhong Y, Zhang L. Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery[J]. IEEE Transactions on Geoscience and Remote sensing, 2013, 52(2): 787-804.