麻豆视频

张学良

发布时间：2025-11-05浏览次数：35

第一/通讯作者论文

  1. 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.

  2. 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.

  3. 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.

  4. 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. 

  5. 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.

  6. 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.

  7. 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. 

  8. 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.

  9. 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. 

  10. 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.

  11. 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.

  12. 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. 

  13. 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. 

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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..

  21. 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.

  22. 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.

  23. 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.

  24. 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.  

  25. 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.   

  26. 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.  

  27. 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.  

  28. 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.  

  29. 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.  

  30. 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.  

  31. 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.  

  32. 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.  

  33. 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.  

  34. 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.  

  35. 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.  

  36. 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.  

  37. 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.   

  38. 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).

  39. 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. 麻豆视频 学报（自然科学）, 2015, 51(5): 1030-1038.  

  40. 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.  

  41. 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：//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：//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(//data.tpdc.ac.cn), 2024. DOI:10.11888/Cryos.tpdc.301062.

    数据网址：//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: //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. //doi.org/10.11888/Cryos.tpdc.301190. //cstr.cn/18406.11.Cryos.tpdc.301190

  6. 课题组开源代码：//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.