张洪艳 (教授)

教授 博士生导师 硕士生导师

性别:男

毕业院校:武汉大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在职

所在单位:计算机学院

职务:院长

Email:

   

个人简历

张洪艳,男,工学博士,教授、博导,比利时根特大学客座教授,国家级青年人才,湖北省杰青获得者,中国高校GIS创新人物,现任中国地质大学(武汉)计算机学院院长、智能地学信息处理湖北省重点实验室主任。主要从事智能信息处理、农业遥感监测等方向的研究工作。在 IEEE Transactions on Image Processing、Earth System Science Data、ISPRS Journal of Photogrammetry and Remote Sensing、Agricultural and Forest Meteorology 等信息科学、地球科学、遥感科学与农业科学领域权威期刊发表SCI论文110余篇,其中ESI热点论文3篇、高被引论文17篇,出版学术专著1部,授权/申请国家发明专利20余项。先后主持国家重点研发计划课题1项、国家自然科学基金5项和省部级项目3项。先后获测绘科学技术一等奖3项、湖北省自然科学二等奖1项、霍英东教育基金会青年教师奖二等奖1项和IEEE地球科学与遥感学会数据融合大赛冠军2项。IET Fellow,IEEE Senior Member,连续3年入选斯坦福大学全球前2%顶尖科学家、Elsevier中国高被引学者和全球学者库前10万顶尖科学家等榜单,应邀担任3个SCI期刊副编辑、4个国内外期刊编委和6个国际会议分会主席。


奖励与荣誉

[1] 2023年,室内外一体化三维数字空间智能构建关键技术及应用,测绘科学技术一等奖

[2] 2023年,入选2022年斯坦福大学全球前2%顶尖科学家榜单(包括终身、年度)

[3] 2023年,第十一届中国高校GIS创新人物

[4] 2023年,入选2022年爱思唯尔(Elsevier)中国高被引学者榜单

[5] 2022年,入选2021年斯坦福大学全球前2%顶尖科学家榜单(包括终身、年度)

[6] 2022年,IEEE地球科学与遥感学会数据融合大赛,亚军

[7] 2022年,入选2021年爱思唯尔(Elsevier)中国高被引学者榜单

[8] 2022年,入选2021年全球学者库前10万顶尖科学家榜单

[9] 2021年,入选2020年斯坦福大学全球前2%顶尖科学家榜单(包括终身、年度)

[10] 2021年,入选2020年全球学者库前10万顶尖科学家榜单

[11] 2021年,多类型混合噪声高光谱遥感影像信息提取理论、方法与应用,测绘科学技术一等奖

[12] 2021年,入选2020年爱思唯尔(Elsevier)中国高被引学者榜单

[13] 2021年,IEEE地球科学与遥感学会数据融合大赛,冠军

[14] 2020年,入选2019年斯坦福大学全球前2%顶尖科学家榜单(年度)

[15] 2020年,湖北省杰出青年基金获得者

[16] 2020年,IEEE地球科学与遥感学会数据融合大赛,亚军

[17] 2019年,IEEE地球科学与遥感协会数据融合大赛,冠军

[18] 2019年,第十七届霍英东教育基金会青年教师奖,二等奖

[19] 2018年,入选2017年斯坦福大学全球前2%顶尖科学家榜单(年度)

[20] 2018年,遥感图像结构化表征与信息挖掘,湖北省自然科学二等奖

[21] 2017年,教育部“长江学者奖励计划”青年学者

[22] 2017年,多成因辐射退化遥感数据的质量改善理论、方法与应用,测绘科技进步一等奖

[23] 2015年,国家留学基金委首届“未来科学家”

[24] 2014年,IEEE地球科学与遥感学会数据融合大赛影像分类赛第三名


学术兼职

[1] The 7th APWeb-WAIM International Joint Conference on Web and Big Data, General Chair, October 6-8 2023

[2] International Conference on Agro-Geoinformatics 2023, Local Organizing Committee Member, July 25-27 2023

[3] 中国计算机学会会员(2023.9~至今)

[4] 中国人工智能学会遥感智能专委会委员(2023.6~至今)

[5] 中国测绘学会摄影测量与遥感专委会委员(2022.05~至今)

[6] 湖北省测绘地理信息学会常务理事(2021.07~至今)

[7] IET Fellow(2021.07~至今)

[8] IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing期刊副编辑(2021.07~至今)

[9] Artificial Intelligence in Geosciences期刊编委(2021.05~至今)

[10] Remote Sensing期刊编委 (2021.04~至今)

[11] 中国图象图形学报青年编委(2020.12~至今)

[12] 中国图形图像学会遥感专委会委员 (2019~至今)

[13] 中国地理信息产业协会理论与方法委员会委员(2019~至今)

[14] 中国遥感应用协会理事(2018~至今)

[15] Photogrammetric Engineering & Remote Sensing期刊副编辑 (2018.11~至今)

[16] Computers & Geosciences期刊副编辑 (2017.10~至今)

[17] Geosciences期刊编委 (2017.10~至今)

[18] IEEE高级会员(IEEE Senior Member) (2016.12~至今)

 

科研项目

[1] 国家重点研发计划课题,边海重点区域遥感精准监测和安全预警平台(2022YFB3903605),2023.1-2025.12,负责人

[2] 国家自然科学基金面上项目,高强度奇异噪声条件下的高光谱遥感深度混合像元分解方法(42071322),2021.1-2024.12,负责人

[3] 湖北省杰出青年基金,大尺度长时序农作物高光谱遥感智能提取方法研究(2020CFA053),2020.3-2023.2,负责人

[4] 国家自然科学基金面上项目,基于多任务协同自表达学习的高光谱遥感非监督地物识别方法(61871298),2019.1-2022.12,负责人

[5] 国家自然科学基金国际合作交流项目,融合高光谱和激光雷达数据的城市地物精细化识别(41711530709),2018.1-2019.12,负责人

[6] 国家自然科学基金面上项目,高光谱遥感影像特征学习-地物分类一体化建模(41571362),2016.1-2019.12,负责人

[7] 湖北省自然科学基金面上项目,面向超像素的高光谱遥感影像稀疏表达分类(2016CFB569),2016.1-2017.12,负责人

[8] 国家自然科学基金青年基金,多角度高光谱遥感影像超分辨率重建研究(61201342),2013.1-2015.12,负责人

 

代表性学术论文 (* indicates corresponding author.)

[1] Z. Li, W. He, M. Cheng, J. Hu, G. Yang, and H. Zhang*, " SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data", Earth System Science Data, vol. 15, no. 11, pp.4749–4780, 2023.

[2] Y. Guo, W. He, Y. Xia, H. Zhang*, "Blind Single Image-based Thin Cloud Removal using a Cloud Perception Integrated Fast Fourier Convolutional Network", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 206, pp. 63 - 86, 2023.

[3] Y. Liu, W. He, H. Zhang*, "GLoCNet: Robust Feature Matching with Global-Local Consistency Network for Remote Sensing Image Registration", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Article ID: 5622213, 2023.

[4] C. Zhang#, H. Zhang#, S. Tian, "Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020", Computers and Electronics in Agriculture, vol. 212, Article ID: 108105, 2023.

[5] X. Liu, W. He, W. Liu, G. Yin, H. Zhang*, "Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 205, pp. 227 - 245, 2023.

[6] S. Huang, H. Zhang*, J. Xue, A. Pižurica, "Heterogeneous Regularizations Based Tensor Clustering for Hyperspectral Band Selection", IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 9259-9273, 2023.

[7] X. Xu, W. He, H. Zhang*, "A Novel Habitat Adaptability Evaluation Indicator (HAEI) for Predicting Yield of County level Winter Wheat in China base on Multisource Climate Data from 2001 to 2020", International Journal of Applied Earth Observation and Geoinformation, vol. 125, Article ID: 103603, 2023.

[8] M. Lin, G. Yang, H. Zhang*, "Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images", IEEE Transactions on Image Processing, vol. 32, pp. 57-71, 2023.

[9] H. Zhang, M. Lin, G. Yang, L. Zhang, "ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images", IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 1, pp. 28-42, 2023.

[10] W. Liu, H. Zhang*, "Mapping annual 10-m rapeseed extent using multi-source data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine", International Journal of Applied Earth Observation and Geoinformation, vol. 117, Article ID: 103198, 2023.

[11] G. Yin, H. Zhang*, "A new integrated index for drought stress monitoring based on decomposed vegetation response factors", Journal of Hydrology, vol. 618, Article ID: 129252, March 2023.

[12] X. Liu, W. He, H. Zhang*, "Cross-region Plastic Greenhouse Segmentation and Counting using the Dual-task Network and Style Transfer", Computers and Electronics in Agriculture, vol. 207, Article ID: 107766, 2023.

[13] H. Chen, G. Yang, H. Zhang*, "Hider: A Hyperspectral Image Denoising Transformer With Spatial–Spectral Constraints for Hybrid Noise Removal", IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3215751, 2022.

[14] H. Zhang, J. Cai, W. He, H. Shen, L. Zhang, "Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5502619, 2022. (ESI高被引论文)

[15] S. Huang, H. Zhang*, A. Pižurica, "Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5505816, 2022.

[16] H. Zhang, W. Liu, L. Zhang, "Seamless and Automated Rapeseed Mapping for Large Cloudy Regions using Time-Series Optical Satellite Imagery", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 182, pp. 45 - 62, 2022.

[17] S. Huang, H. Zhang*, A. Pižurica, "A Structural Subspace Clustering Approach for Hyperspectral Band Selection", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5509515, 2022.

[18] H. Zhang, Y. Liao, H. Yang, G. Yang, L. Zhang, "A Local-Global Dual-Stream Network for Building Extraction from Very High Resolution Remote Sensing Images", IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 3, pp. 1269-1283, 2022.     (ESI高被引论文)

[19] S. Huang, H. Zhang*, A. Pižurica, "Subspace Clustering for Hyperspectral Images via Dictionary Learning with Adaptive Regularization", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, ID: 5524017, 2022.

[20] H. Zhang, J. Zou, L. Zhang, "EMS-GCN: An End-to-End Mixhop Superpixel-Based Graph Convolutional Network for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5526116, 2022.

[21] H. Xu, W. He, L. Zhang, H. Zhang*, "Unsupervised Spectral-Spatial Semantic Feature Learning for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5526714, 2022.

[22] Y. Song, H. Zhang*, H. Huang, L. Zhang, "Remote Sensing Image Spatiotemporal Fusion via a Generative Adversarial Network with One Prior Image Pair", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5528117, 2022.

[23] H. Zhang, G. Yin, L. Zhang, "Evaluating the Impact of Different Normalization Strategies on the Construction of Drought Condition Indices", Agricultural and Forest Meteorology, vol. 323, Article ID: 109045, 2022.

[24] J. Zou, W. He, H. Zhang*, "LESSFormer: Local-Enhanced Spectral-Spatial Transformer for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5535416, 2022.

[25] Z. Li, H. Zhang*, F. Lu, R. Xue, G. Yang and L. Zhang, "Breaking the Resolution Barrier: A Low-to-High Network for Large-Scale High-Resolution Land Cover Mapping using Low-Resolution Labels", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 192, pp. 244 - 267, 2022.

[26] J. Cai, W. He, H. Zhang*, "Anisotropic Spatial–Spectral Total Variation Regularized Double Low-Rank Approximation for HSI Denoising and Destriping", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5536619, 2022.

[27] H. Chen, H. Zhang*, G. Yang, S. Li, L. Zhang, "A Mutual Information Domain Adaptation Network for Remotely Sensed Semantic Segmentation", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Article ID: 5537316, 2022.

[28] Z. Wang, H. Zhang*, W. He, L. Zhang, "Cross-Phenological-Region Crop Mapping framework using Sentinel-2 Time Series Imagery: A New Perspective for Winter Crops in China", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 193, pp. 200 - 215, 2022.

[29] W. He, Q. Yao, C. Li, N. Yokoya, Q. Zhao, H. Zhang*, L. Zhang, "Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration", European Conference on Computer Vision (ECCV 2022), Munich, Germany, 8–14 September, 2022.

[30] H. Zhang*, Y. Song, C. Han, L. Zhang, "Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 5, pp. 4273-4286, 2021. (ESI热点论文、高被引论文)

[31] H. Zhai, H. Zhang*, L. Zhang, P. Li, "Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 5, pp. 4164-4178, 2021.

[32] H. Zhang, H. Du, C. Zhang, L. Zhang "An Automated Early-season Method to Map Winter Wheat using Time-series Sentinel-2 Data: A Case Study of Shandong, China", Computers and Electronics in Agriculture, vol. 182, Article ID: 105962, 2021.

[33] C. Zhang, H. Zhang*, L. Zhang, "Spatial Domain Bridge Transfer:An Automated Paddy Rice Mapping Method with no Training Data Required and Decreased Image Inputs for Large Cloudy Area", Computers and Electronics in Agriculture, vol. 181, Article ID: 105978, 2021.

[34] H. Zhang, Q. Huang, H. Zhai, L. Zhang, "Multi-temporal cloud detection based on Robust PCA for optical remote sensing imagery", Computers and Electronics in Agriculture, vol. 188, Article ID: 106342, 2021.

[35] X. Zheng, W. Zhang, L. Huan, J. Gong, H. Zhang*, "AProNet: Detecting Objects with Precise Orientation from Aerial Images", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 181, pp. 99 - 112, 2021.

[36] H. Xu, H. Zhang*, L. Zhang, "A Superpixel Guided Sample Selection Neural Network for Handling Noisy Labels in Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 11, pp. 9486-9503, 2021.

[37] H. Zhang, H. Chen, G. Yang, L. Zhang, "LR-Net: Low-Rank Spatial-Spectral Network for Hyperspectral Image Denoising", IEEE Transactions on Image Processing, vol. 30, pp. 8743-8758, 2021.

[38] H. Zhai, H. Zhang*, L. Zhang, P. Li, "Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 12, pp. 10410-10424, 2021.

[39] H. Zhai, H. Zhang*, P. Li, L. Zhang, "Hyperspectral Image Clustering: Current Achievements and Future Lines", IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 4, pp. 35-67, 2021.

[40] H. Zhang, L. Liu, W. He, L. Zhang, "Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3071-3084, 2020.      (ESI高被引论文)

[41] H. Zhang, J. Kang, Xiong Xu, L. Zhang, "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", Computers and Electronics in Agriculture, vol. 176, Article ID: 105618, 2020.

[42] H. Zhai, H. Zhang*, L. Zhang, P. Li, "Total Variation Regularized Collaborative Representation Clustering with a Locally Adaptive Dictionary for Hyperspectral Remote Sensing Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 1, pp. 166 - 180, 2019.   (ESI高被引论文)

[43] H. Zhai, H. Zhang*, L. Zhang, P. Li, "Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1723 - 1740, 2019.  (ESI高被引论文)

[44] H. Zhai, H. Zhang*, L. Zhang*, P. Li, "Cloud/Shadow Detection based on Spectral Indices for Multi/Hyperspectral Optical Remote Sensing Imagery", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 144, pp. 235 - 253, 2018.

[45] W. He, H. Zhang*, H. Shen, L. Zhang*, "Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 3, pp. 713 - 729, 2018.     (ESI高被引论文)

[46] W. He, H. Zhang*, L. Zhang, "Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3909 - 3921, 2017. (ESI高被引论文)

[47] H. Zhang, H. Zhai, L. Zhang, P. Li, "Spectral-Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 6, pp. 3672–3684, June 2016.

[48] W. He, H. Zhang*, L. Zhang, H. Shen, "Total-Variation-Regularized Low-rank Matrix Factorization for Hyperspectral Image Restoration", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 1, pp. 178 - 188, 2016.  (ESI高被引论文)

[49] H. Zhang, W. He, L. Zhang, H. Shen, Q. Yuan, "Hyperspectral Image Restoration Using Low-Rank Matrix Recovery", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8, pp. 4729-4743, 2014.   (ESI热点论文、高被引论文)

[50] H. Zhang, J. Li , Y. Huang, L. Zhang, "A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2056 - 2065, 2014. (ESI高被引论文)

 

发明专利

[1] 张洪艳,盛耘,张良培,“基于图卷积自编码器的高光谱影像非线性解混方法及系统”, 专利号: ZL 202110823203.0, 授权日: 2023.10.27.

[2] 张洪艳,蔡静宜,沈焕锋,张良培,“基于双低秩矩阵分解的GF-5遥感影像混合噪声去除方法”, 专利号: ZL 202010075853.7, 授权日: 2022.07.05.

[3] 张洪艳,柴朝阳,张良培,“一种基于Sentinel-2遥感影像的大蒜种植信息自动化提取方法”, 专利号: ZL 202010371772.1, 授权日: 2022.04.01.

[4] 张洪艳, 杜红雨, 张良培,“一种基于Sentinel-2影像数据的早期自动化小麦制图方法”, 专利号: ZL 2019 1 0165983.7, 授权日: 2020.11.17.

[5] 张洪艳, 张亚坤, 沈焕锋, 袁强强, 张良培,“基于非耦合映射关系的影像超分辨率重建方法及系统”, 专利号: ZL 2016 1 0231568.3, 授权日: 2018.10.26.

[6] 李家艺, 张洪艳, 张良培, “基于联合稀疏表达的遥感影像多尺度面向对象分类方法”, 专利号: ZL 2013 1 0628634.7, 授权日: 2016.05.21.

 

学术专著

[1] 张良培, 沈焕锋, 张洪艳, 袁强强,"图像超分辨率重建", 专著, 科学出版社, ISBN: 978-7-03-035236-1,2012.


学生培养

[1] 2023年,中国国际大学生创新大赛,全国银奖,获奖学生:宋阳、汪雨晴、王文宇等,指导老师:杨光义、吕龙飞、张沪寅、张洪艳、贺威、张良培、李星华、郑先伟

[2] 2023年,Agro-Geoinformatics 2023,最佳学生论文竞赛三等奖,获奖学生:程谟凡,指导老师:张洪艳、贺威

[3] 2023年,第五届中国湿地遥感大会,优秀报告奖,获奖学生:邹佳琦,指导老师:张洪艳、贺威

[4] 2023年,IEEE WHISPERS会议跨城市多模态语义分割大赛,亚军,获奖学生:邹佳琦、李卓鸿、卢方骁,指导老师:张洪艳、贺威

[5] 2022年,地球空间信息科学国际博士生论坛,最佳报告奖,获奖学生:邹佳琦,指导老师:张洪艳、贺威

[6] 2022年,“欧比特杯”全国高光谱卫星遥感影像智能处理与行业应用大赛,一等奖,获奖学生:邹佳琦,指导老师:张洪艳、贺威

[7] 2022年,IEEE国际地球科学与遥感学会数据融合大赛,亚军,获奖学生:李卓鸿、邹佳琦、卢方骁,指导老师:张洪艳

[8] 2022年,招商银行FinTech精英训练营,优秀精英团队,获奖学生:曹伟男,指导老师:张洪艳

[9] 2021年,IEEE国际地球科学与遥感学会数据融合大赛,冠军,获奖学生:李卓鸿、卢方骁,指导老师:张洪艳、杨光义、张良培

[10] 2020年, IEEE国际地球科学与遥感学会数据融合大赛,全球地表覆盖制图弱监督学习挑战赛,亚军,获奖学生:夏宇、廖越,指导老师:张洪艳、杨光义

[11] 2019年, IEEE国际地球科学与遥感协会数据融合大赛,冠军,获奖学生:陈宏宇、林漫晖,指导老师:张洪艳、杨光义、夏桂松、郑先伟、张良培

[12] 2019年,第五届全国成像光谱对地观测学术研讨会,优秀报告奖,获奖学生:翟晗,指导老师:张洪艳、李平湘、张良培

[13] 2018年,第一届“麦田守望者”杯智慧农业遥感应用大赛,三等奖,获奖学生:张承康,尹国应,柴朝阳,指导老师:张洪艳

[14] 2016年,“创青春”全国大学生创业大赛金奖,获奖学生:冷伟等,指导老师:熊汉江、张洪艳

[15] 2015年,全国博士生学术论坛(测绘科学与技术学科)优秀报告奖、优秀论文二等奖,获奖学生:翟晗,指导老师:张洪艳、李平湘、张良培

[16] 2014年, IEEE国际地球科学与遥感大会学生论文竞赛第三名,获奖学生:贺威,指导老师:张洪艳、张良培

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