张学良 - 南京大学 - 地理与海洋科学学院

个人简介

张学良，1987年生，湖南长沙人。南京大学副教授，硕士生导师。主要从事遥感信息智能处理与地学应用研究。聚焦高分辨率遥感地物信息精准高效解译的前沿问题，提出了地物“几何-语义-变化”信息精准提取方法，构建了“特征自主学习牵引、标记自动生成支撑”的弱监督高效解译模式，发展了学习模型与领域知识、多源数据耦合的遥感智能监测途径，为智能载荷研制、防灾减灾决策提供科技支撑。目前的研究兴趣主要包括大模型支持的遥感图像智能解译、全/弱/半/自监督的深度学习遥感建模、集成多源数据的积雪动态监测及其气候生态效应研究。承担国家自然科学基金项目、预研课题、国家高分重大专项项目课题、国家863计划课题、国家科技基础资源调查专项项目子课题等20余项科研项目，在RSE、ISPRS P&RS、IEEE TGRS、JOH、TC等领域权威刊物发表学术论文80余篇，被引逾3000次，出版专著/教材/图集5部，申请/授权国家发明专利12件，登记软件著作权5项。获得地理信息科技进步奖一等奖、航天科技进步奖二等奖、江苏省优秀博士学位论文、地理信息科技进步奖二等奖、江苏省青年遥感与地理信息科技奖等科技奖励。主讲“遥感地学分析”、“庐山地区地理学综合创新实习”、“地理研究论文写作”等课程，指导本科生获得江苏省优秀本科毕业论文、南京大学优秀本科毕业论文特等奖、全国大学生GIS应用技能大赛特等奖等荣誉，指导研究生获得江苏省优秀硕士学位论文、江苏省测绘优秀硕士学位论文、国家奖学金等荣誉，获得全国高等学校GIS教学成果奖特等奖、高校GIS论坛优秀教学成果奖、南京大学育教融合奖、南京大学新华报业优秀青年教师奖等教学奖励。当选IEEE高级会员，担任中国测绘学会智能化测绘工作委员会委员、中国冰冻圈科学学会积雪专业委员会委员、江苏省遥感与地理信息系统学会副秘书长、江苏省人工智能学会智能遥感专业委员会委员、苏港澳高校环境与遥感科学联盟委员会委员等学术职务，担任RSE、ISPRS P&RS、IEEE TGRS、Earth Science Review、Pattern Recognition等20余本刊物审稿人。奖励荣誉地理信息科技进步奖一等奖（序6），2023 中国航天科技集团科学技术进步奖二等奖（序5），2023 全国高等学校GIS教学成果奖特等奖（序2），2023 江苏省优秀硕士学位论文指导教师，2023 江苏省优秀本科毕业论文指导教师，2023 南京大学育教融合奖，2023 南京大学优秀本科毕业论文特等奖指导教师，2022 江苏省测绘与地理信息优秀硕士学位论文一等奖指导教师，2022 南京大学新华报业优秀青年教师奖，2021 第十届全国大学生GIS应用技能大赛特等奖优秀指导教师，2021 全国高校GIS论坛“优秀教学成果奖”（序2），2020年江苏省青年遥感与地理信息科技奖，2020年（全国）地理信息科技进步二等奖（序3），2017年江苏省优秀博士学位论文，2017年

研究领域

遥感信息智能处理与地学应用

近期论文

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L. Sun, X. Zhang*, P. Xiao, H. Wang, Y. Wang, Z. Zheng. Fusing daily snow water equivalent from 1980 to 2020 in China using a spatiotemporal XGBoost model. Journal of Hydrology, 2024, 632: 130876. X Zhang, Q Su, P Xiao, W Wang, Z Li, G He. FlipCAM: A feature-level flipping augmentation method for weakly supervised building extraction from high-resolution remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 4402917. S. Zhao, X. Zhang*, P. Xiao, G. He. Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 4508016. Z. Li, X. Zhang*, P. Xiao. One model is enough: Toward multiclass weakly supervised remote sensing image semantic segmentation. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 4503513. D. Muhtar, X. Zhang*, P. Xiao, Z. Li, F. Gu. CMID: A unified self-supervised learning framework for remote sensing image understanding. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5607817. W. Wang, X. Zhang*, P. Xiao, Q. Su. Perturbed peer model with joint confidence for semi-supervised object-based classification in urban area. International Journal of Remote Sensing, 2023, 44(14): 4417–4440. H. Wang, X. Zhang*, P. Xiao, T. Che, Z. Zheng, L. Dai, W. Luan. Towards large-scale daily snow density mapping with spatiotemporally aware model and multi-source data, The Cryosphere, 2023, 17, 33–50. G. He, Z. Dong, J. Guan, P. Feng,S. Jin, X. Zhang*. SAR and multi-spectral data fusion for local climate zone classification with multi-branch convolutional neural network. Remote Sensing, 2023, 15: 434. G. He, Z. Dong, P. Feng, D. Muhtar, X. Zhang*. Dual-range Context Aggregation for Efficient Semantic Segmentation in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 2500605. X. Zhang*, Z. Zheng, P. Xiao, Z. Li, G. He. Patch-based training of fully convolutional network for hyperspectral image classification with sparse point labels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 8884-8897. Z. Li, X. Zhang*, P. Xiao. Spectral index-driven FCN model training for water extraction from multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 192: 344–360. W. Luan,X. Zhang*, P. Xiao, H. Wang, S. Chen. Binary and fractional MODIS snow cover mapping boosted by machine learning and big Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 4305714. Q. Su, X. Zhang*, P. Xiao, Z. Li, W. Wang. Which CAM is Better for Extracting Geographic Objects? A Perspective from Principles and Experiments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 5623-5635. D. Muhtar, X. Zhang*, P. Xiao. Index Your Position: A Novel Self-Supervised Learning Method for Remote Sensing Images Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 4411511. S. Wu, X. Zhang*, J. Du, H. Wang. Evaluating the different responses to climatic factors between snow water equivalent and snow cover area in the Central Tianshan Mountains, Theoretical and Applied Climatology, 2022, 148: 1563-1576. H. Wang, X. Zhang*, P. Xiao, K. Zhang, S. Wu. Elevation-dependent response of snow phenology to climate change from a remote sensing perspective: A case survey in the central Tianshan mountains from 2000 to 2019, International Journal of Climatology, 2022, 42(3): 1706–1722. Z. Zheng, X. Zhang*, P. Xiao, Z. Li. Integrating Gate and Attention Modules for High-resolution Image Semantic Segmentation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 4530-4546.. Z. Li, X. Zhang*, P. Xiao, Z. Zheng. On the effectiveness of weakly supervised semantic segmentation for building extraction from high-resolution remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 3266-3251. X. Zhang, P. Xiao, X. Feng. Object-specific optimization of hierarchical multiscale segmentations for high-spatial resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159: 308-321. L. Ye, P. Xiao*, X. Zhang*, X. Feng, R. Hu, W. Ma, H. Li, Y. Song, T. Ma. Evaluating Snow Bidirectional Reflectance of Models Using Multiangle Remote Sensing Data and Field Measurements. IEEE Geoscience and Remote Sensing Letters, 2020, DOI: 10.1109/LGRS.2020.3024731. X. Zhang, P. Xiao, X. Feng, G. He. Another look on region merging procedure from seed region shift for high-resolution remote sensing image segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 148: 197-207. S. Wu#, X. Zhang#, J. Du, X. Zhou, Y. Tuo, R. Li, Z. Duan. The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains, Northwest China. Hydrological Process, 2019, 33:1686–1697. P. Xiao*, X. Zhang*, H. Zhang, R. Hu, X. Feng. Multiscale Optimized Segmentation of Urban Green Cover in High Resolution Remote Sensing Image. Remote Sensing, 2018, 10(11): 1813. X. Zhang, P. Xiao, X. Feng, M. Yuan. Separate segmentation of multi-temporal high-resolution remote sensing images for object-based change detection in urban area. Remote Sensing of Environment, 2017, 201C: 243-255. X. Zhang, P. Xiao, X. Feng. Toward combining thematic information with hierarchical multiscale segmentations using tree Markov random field model. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 131C: 134-146. P. Xiao*, M. Yuan, X. Zhang*, X. Feng, Y. Guo. Cosegmentation for object-based building change detection from high-resolution remotely sensed images. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3): 1587-1603. X. Zhang, X. Feng, P. Xiao, G. He, L. Zhu. Segmentation quality evaluation using region-based precision and recall measures for remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 102: 73-84. X. Zhang, P. Xiao, X. Feng, L. Feng, N. Ye. Toward evaluating multiscale segmentations of high spatial resolution remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7): 3694-3706. X. Zhang, X. Feng, P. Xiao. Multi-scale segmentation of high-spatial resolution remote sensing images using adaptively increased scale parameter, Photogrammetric Engineering & Remote Sensing, 2015, 82(6): 11-20. X. Zhang, P. Xiao, X. Feng, J. Wang, Z. Wang. Hybrid region merging method for segmentation of high-resolution remote sensing image. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 98: 19-28. X. Zhang, P. Xiao, X. Feng. Fast hierarchical segmentation of high-resolution remote sensing image with adaptive edge penalty, Photogrammetric Engineering & Remote Sensing, 2014, 81(1): 71-80. X. Zhang, P. Xiao, X. Song, J. She. Boundary-constrained multi-scale segmentation method for remote sensing image. ISPRS Journal of Photogrammetry and Remote Sensing, 2013, 78: 15-25. X. Zhang, P. Xiao, X. Feng. Impervious surface extraction from high-resolution satellite image using pixel- and object-based hybrid analysis. International Journal of Remote Sensing, 2013, 34(2): 4449-4465. X. Zhang, P. Xiao, X. Feng. An unsupervised evaluation method for remotely sensed imagery segmentation. IEEE Geoscience and Remote Sensing Letters, 2012, 9(2): 156-160. 张学良, 王华东, 肖鹏峰, 郑子贤, 冯学智.中国积雪特性时空分布电子地图集[J/OL]. 中国科学数据, 2022, 7(3), 1-14. (2022-04-09). 张学良, 肖鹏峰, 冯学智. 基于区域合并的高分辨率遥感图像多尺度分割. 南京大学学报（自然科学）, 2015, 51(5): 1030-1038. 张学良, 肖鹏峰, 冯学智. 基于图像内容层次表征的遥感图像分割方法. 中国图象图形学报, 2012, 17(1):142-149. 张学良, 肖鹏峰, 冯学智. 基于改进区域邻接图的遥感图像多尺度快速分割方法. 遥感信息, 2011, (5): 3-8.

学术兼职

IEEE高级会员，2024 中国测绘学会智能化测绘工作委员会委员，2023 中国冰冻圈科学学会积雪专业委员会委员，2023 江苏省遥感与地理信息系统学会理事、副秘书长，2020 江苏省人工智能学会智能遥感专业委员会委员，2021 苏港澳高校环境与遥感科学联盟委员会委员，2023 《遥感技术与应用》青年编委，2020