张学良

发布时间：2026-09-16浏览次数：943

第一/通讯作者论文

  1. S. Zhao, F. Liu, X. Zhang*, H. Chen*, T. Han, J. Gong, R. Tao, P. Xiao, X. Gu, L. Bai. Transforming Weather Data from Pixel to Latent Space. 43rd International Conference on Machine Learning, 2026 (ICML 2026, Spotlight Paper, Oral).

  2. E. Zhang, S. Zhao, D. Muhtar, Z. Li, X. Zhang*, P. Xiao. Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework. The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CVPR 2026).

  3. J. Wu, X. Zhang*, P. Xiao, Y. Jia, B. Tang, Y. Liu. Multi-sensor Spatiotemporal Fusion for 30-m Daily Gapless Snow Cover Mapping. Water Resource Research, 2026, 62, e2025WR041155.

  4. D. Muhtar, E. Zhang, Z. Li, F. Gu, Y. He, P. Xiao, X. Zhang*. Quality-driven curation of remote sensing vision-language data via learned scoring models. The 39th Conference on Neural Information Processing Systems (NeurIPS 2025).

  5. Y. He, X. Zhang*, P. Xiao, Z. Li, D. Muhtar, F. Gu, B. Liu, P. Feng. Dynamic fusion of medium-resolution optical and SAR imagery for methane source infrastructure classification. International Journal of Applied Earth Observation and Geoinformation, 2025, 144: 104876.

  6. Z. Li, M. Dilixat, F. Gu, Y. He, X. Zhang*, P. Xiao, G. He, X. Zhu*. LHRS-Bot-Nova: Improved Large Multimodal Language Model for Remote Sensing Vision-Language Interpretation. ISPRS Journal of Photogrammetry and Remote Sensing, 2025, 227: 539-550.

  7. S. Zhao, H. Chen*, X. Zhang*, P. Xiao, L. Bai. VegeDiff: Latent diffusion model for geospatial vegetation forecasting. IEEE Transactions on Geoscience and Remote Sensing, 2025, 64: 4410214.

  8. L. Sun, X. Zhang*, H. Wang, P. Xiao, Y. Wang. Estimating daily snow density through a spatiotemporal random forest model. Water Resource Research, 2024, 60: e2023WR036942.

  9. M. Dilixat#, Z. Li#, F. Gu, X. Zhang*, P. Xiao. LHRS-Bot: Empowering remote sensing with VGI-enhanced large multimodal language model. European Conference on Computer Vision (ECCV), 2024.

  10. S. Zhao, H. Chen*, X. Zhang*, P. Xiao, L. Bai, W. Ouyang. RS-Mamba for large remote sensing image dense prediction. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5633314.

  11. 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. 

  12. 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.

  13. 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.

  14. 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. 

  15. 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.

  16. 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. 

  17. 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.

  18. 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.

  19. 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. 

  20. 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. 

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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..

  28. 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.

  29. 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.

  30. 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.

  31. 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.  

  32. 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.   

  33. 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.  

  34. 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.  

  35. 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.  

  36. 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.  

  37. 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.  

  38. 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.  

  39. 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.  

  40. 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.  

  41. 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.  

  42. 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.  

  43. 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.  

  44. 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.   

  45. 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).

  46. 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.  

  47. 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.  

  48. 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.

开源代码与数据集

  1. 张学良, 王华东, 郑子贤, 王建.中国积雪特性时空分布电子地图数据集[DS/OL]. 国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn), 2021. doi: 10.12072/ncdc.I-SNOW.db0022.2021. 数据网址：http://www.ncdc.ac.cn/portal/metadata/0d7fe67d-25a5-48e1-ab62-b07b6956db29

  2. 张学良,王华东,肖鹏峰,车涛,郑照军,戴礼云,栾文博.中国区域逐日积雪密度数据集（2013-2020）[DS/OL].国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn), 2023. DOI: 10.12072/ncdc.isnow.db2711.2023. 数据网址：http://www.ncdc.ac.cn/portal/metadata/121b0f6b-0c76-4869-bd6f-f96ea452ba0e

  3. 孙立扬, 张学良, 肖鹏峰, 王华东, 王蕴涵, 郑照军.中国逐日0.25度雪水当量融合产品（1980–2020）[DS/OL]. 国家青藏高原数据中心(https://data.tpdc.ac.cn), 2024. DOI:10.11888/Cryos.tpdc.301062.

    数据网址：https://data.tpdc.ac.cn/zh-hans/data/e073ffbb-bc5f-4b5a-8de1-81a27710cff0

  4. 孙立扬, 张学良, 王华东, 肖鹏峰, 王蕴涵.中国逐日25公里雪密度产品（1980–2018）. 国家青藏高原数据中心, 2024. DOI: 10.11888/Cryos.tpdc.301297. 数据网址: https://cstr.cn/18406.11.Cryos.tpdc.301297

  5. Luan, W., Zhang, X., Xiao, P. (2024). MODIS daily fraction snow cover dataset in the High Mountain Asia (2000-2021). National Tibetan Plateau / Third Pole Environment Data Center. https://doi.org/10.11888/Cryos.tpdc.301190. https://cstr.cn/18406.11.Cryos.tpdc.301190

  6. 课题组开源代码：https://github.com/NJU-LHRS/

专著/教材/图集

  1. 张学良, 冯学智, 肖鹏峰, 郝晓华, 蒋玲梅. 中国积雪特性系列专题图. 中华地图学社, 2022.

  2. 肖鹏峰，冯学智，张学良. 高分辨率积雪遥感识别与反演. 高等教育出版社, 2020.

  3. 冯学智，肖鹏峰，张学良，都金康，谢顺平. 天山中部积雪遥感与应用. 科学出版社, 2018.  

  4. 肖鹏峰, 冯学智, 王培法, 叶盛, 吴桂平, 王珂, 张学良. 高分辨率遥感图像分割与信息提取. 科学出版社, 2012.  

国家发明专利 

  1. 一种利用自适应阈值分割确定最优标记图像的方法. 专利授权号：ZL201110084902.4.  

  2. 高分辨率遥感图像新增建设用地变化图斑自动提取的方法. 专利授权号：ZL201210307230.3.  

  3. 一种基于变化向量的有林地变化检测方法. 专利授权号：ZL201911278150.8.

  4. 一种时间序列图像的蓝藻覆盖率计算方法. 专利授权号：ZL201911288523.X.

  5. 一种基于卫星遥感数据的积雪多角度二向反射率反演方法. 专利授权号：ZL202110946364.9.

软件著作权 

  1. 遥感图像分割软件RSEG V1.0, 软件著作权登记号: 2010SR072415.     

  2. 低空遥感海量影像数据处理软件LRIP V1.0, 软件著作权登记号: 2012SR098466.     

  3. 新疆天山中部高分载荷雪冰监测系统HRSIMS V1.0, 软件著作权登记号: 2013SR150447.     

  4. 浙南海域高分辨率海洋环境影像处理系统V1.0, 登记号2016SR186850.  

  5. GF-6卫星宽幅相机林地变化检测软件V1.0，登记号：2020SR0552018.