论文:

2024

  1. Du, S., Liu, H., Xing, J., & Du, S. (2024). Fusing multimodal data of nature-economy-society for large-scale urban building height estimation. International Journal of Applied Earth Observation and Geoinformation, 129, 103809. (SCI, IF= 7.6, JCR一区, 中科院一区TOP)
  2. Du, S., Xing, J., Wang, S., Wei, L., & Zhang, Y. (2024). STMNet: Scene Classification-Assisted and Texture Feature-Enhanced Multi-Scale Network for Large-Scale Urban Informal Settlement Extraction from Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (SCI, IF= 4.7, JCR一区, 中科院二区TOP)
  3. Du, S., Zhang, Y., Sun, W., & Liu, B. (2024). Quantifying heterogeneous impacts of 2D/3D built environment on carbon emissions across urban functional zones: A case study in Beijing, China. Energy and Buildings, 319, 114513. (SCI, IF= 6.6, JCR一区, 中科院二区TOP)
  4. Du, S., Xing, J., Wang, S., Xiao, X., Li, J., & Liu, H. (2024). LUMNet: Land Use Knowledge Guided Multiscale Network for Height Estimation from Single Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. (SCI, IF= 4.0, JCR一区)
  5. Zhang, S., Xia, Y., Li, Z., Li, X., Wu, Y., Liu, P., & Du, S.* (2024). An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, China. Land, 13(6), 823. (SSCI, IF= 3.2, JCR二区)
  6. Zheng, Y., Du, S.*, Sun, W., Feng, C., & Su, Q. (2024). Spatiotemporal patterns of net regional productivity and its causes throughout Ordos, China. Environmental Science and Pollution Research, 31(14), 22038-22054. (SCI, IF= 5.8, JCR一区)
  7. Du, S., Wu, Y., Guo, L., Fan, D., & Sun, W. (2024). How Does the 2D/3D Urban Morphology Affect the Urban Heat Island across Urban Functional Zones? A Case Study of Beijing, China. ISPRS International Journal of Geo-Information, 13(4), 120. (SCI, IF= 2.8, JCR二区)
  8. Du, S., Zheng, M., Guo, L., Wu, Y., Li, Z., & Liu, P. (2024). Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms. Earth Science Informatics, 17(2), 1179-1201. (SCI, IF= 2.7, JCR二区)
  9. Zhao, Y., Du, S., Li, K., Jiang, J., Guo, Q., & Xiao, W. (2024). Estimation of canopy height based on multi-source remote sensing data using forest structure aided sample selection. International Journal of Remote Sensing, 45(7), 2235-2268.(SCI, IF= 3.0, JCR二区)
  10. Zheng, Y., Wu, J., Du, S., Sun, W., & He, L. (2024). Unrevealing the coupling coordination degree between atmospheric CO2 concentration and human activities from geospatial and temporal perspectives. Science of The Total Environment, 173691.()
  11. Cao, S., Zhao, X., & Du, S. (2024). Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion. International Journal of Digital Earth, 17(1), 2308723.(SCI, IF=3.7, JCR一区, 中科院一区TOP)

2023

  1. Wang, C., Du, S.*, Sun, W., & Fan, D. (2023). Self-supervised learning for high-resolution remote sensing images change detection with variational information bottleneck. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 5849-5866. (SCI, IF= 4.7, JCR一区, 中科院二区TOP)
  2. Du, S., Xing, J., Du, S., Cui, X., Xiao, X., Li, W., & Wang, S. (2023). IMG2HEIGHT: height estimation from single remote sensing image using a deep convolutional encoder-decoder network. International Journal of Remote Sensing, 44(18), 5686-5712. (SCI, IF= 3.0, JCR二区)
  3. Ouyang, S., Du, S., Zhang, X., Du, S., & Bai, L. (2023). MDFF: A method for fine-grained UFZ mapping with multimodal geographic data and deep network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.(SCI, IF= 4.7, JCR一区, 中科院二区TOP)
  4. Dai, Y., Du, S., & Min, H. (2023). Comparative Hotspot Analysis of Urban Living Environments and Transit-Oriented Development (TOD) Strategies: A Case Study of Beijing and Xi’an. ISPRS International Journal of Geo-Information, 12(11), 446.(SCI, IF= 2.8, JCR二区)
  5. Guo, Q., Du, S., Jiang, J., Guo, W., Zhao, H., Yan, X., Zhao, Y. & Xiao, W. (2023). Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass. Ecological Informatics, 78, 102348.()
  6. 杜守航,李炜,邢江河等.基于FM-UNet++和高分二号卫星影像的露天矿区范围变化检测[J].煤田地质与勘探,2023,51(07):130-139. (EI)
  7. 杜守航. 新工科建设下测量学教学改革研究 [J]. 科技风, 2023, (14): 102-104.

2022

  1. Li, J., Xing, J., Du, S.*, Du, S., Zhang, C., & Li, W. (2022). Change detection of open-pit mine based on siamese multiscale network. IEEE Geoscience and Remote Sensing Letters, 20, 1-5. (SCI, IF= 4.0, JCR一区)
  2. Du, S., Xing, J., Li, J., Du, S., Zhang, C., & Sun, Y. (2022). Open-pit mine extractionfrom very high resolution remote sensing images using OM-DeepLab. Natural Resources Research, 1-22. (SCI, IF=4.8, JCR一区)
  3. Du, S., Li, W., Li, J., Du, S., Zhang, C., & Sun, Y. (2022). Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach. International Journal of Mining, Reclamation and Environment, 1-24. (SCI, IF=2.7, JCR二区)
  4. Zhang, X., Du, S., Taubenböck, H., Wang, Y. C., Du, S., Liu, B., & Feng, Y. (2022). Underload city conceptual approach extending ghost city studies. npj Urban Sustainability, 2(1), 15.()

2021

  1. Du, S., Du, S., Liu, B., & Zhang, X. (2021). Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach. Remote Sensing of Environment, 261, 112480. (SCI, IF= 11.1, JCR一区, 中科院一区TOP)
  2. Du, S., Du, S., Liu, B., & Zhang, X. (2021). Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images. International Journal of Digital Earth, 14(3), 357-378. (SCI, IF=3.7, JCR一区, 中科院一区TOP)
  3. Shang, S., Du, S., Du, S., & Zhu, S. (2021). Estimating building-scale population using multi-source spatial data. Cities, 111, 103002.()
  4. Xi, W., Du, S., Du, S., Zhang, X., & Gu, H. (2021). Intra-annual land cover mapping and dynamics analysis with dense satellite image time series: A spatiotemporal cube based spatiotemporal contextual method. GIScience & Remote Sensing, 58(7), 1195-1218.(SCI, IF=6.0, JCR一区)

2020

  1. Du, S., Du, S., Liu, B., Zhang, X., & Zheng, Z. (2020). Large-scale urban functional zone mapping by integrating remote sensing images and open social data. GIScience & Remote Sensing, 57(3), 411-430. (SCI, IF=6.0, JCR一区)
  2. Zheng, Z., Du, S., Du, S., & Zhang, X. (2020). A multiscale approach to delineate dune-field landscape patches. Remote Sensing of Environment, 237, 111591.(SCI, IF= 11.1, JCR一区, 中科院一区TOP)
  3. Liu, B., Du, S., Du, S., & Zhang, X. (2020). Incorporating deep features into GEOBIA paradigm for remote sensing imagery classification: A patch-based approach. Remote Sensing, 12(18), 3007.(SCI, IF= 4.7, JCR一区, 中科院二区TOP)
  4. Zhang, X., Du, S., Du, S., & Liu, B. (2020). How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing. Remote Sensing of Environment, 249, 112014.(SCI, IF= 11.1, JCR一区, 中科院一区TOP)

2019

  1. Du, S., Du, S., Liu, B., & Zhang, X. (2019). Context-enabled extraction of large-scale urban functional zones from very-high-resolution images: A multiscale segmentation approach. Remote Sensing, 11(16), 1902. (SCI, IF=4.2, JCR一区)
  2. Du, S., Du, S.(2019). Land cover classification using remote sensing images and lidar data. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019 (pp. 2479-2482). IEEE. (EI)

2018

  1. Zhang, Y., Zhang, M., Du, S., Zou, Z., & Fan, C. (2018). Seamline optimisation for urban aerial ortho‐image mosaicking using graph cuts. The Photogrammetric Record, 33(161), 131-147.

2017

  1. Du, S., Zhang, Y., Zou, Z., Xu, S., He, X., & Chen, S. (2017). Automatic building extraction from LiDAR data fusion of point and grid-based features. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 294-307. (SCI, IF=10.6, JCR一区, 中科院一区TOP)

2016

  1. Du, S., Zhang, Y., Qin, R., Yang, Z., Zou, Z., Tang, Y., & Fan, C. (2016). Building change detection using old aerial images and new LiDAR data. Remote Sensing, 8(12), 1030. (SCI, IF=4.2, JCR一区)

科研项目:

  1. 国家自然科学基金青年基金项目,多模态数据的多维度特征融合与城市功能区精细提取研究,2023-01 至 2025-12,主持
  2. 中国博士后科学基金特别资助项目,基于多模态数据融合与自监督对比学习的城市功能区提取,2023-08 至 2024-08,主持
  3. 中国博士后科学基金面上项目,融合遥感与众源地理数据的城市功能区精细提取,2021-11 至 2023-04,主持
  4. 武汉大学测绘遥感信息工程国家重点实验室开放基金,基于全卷积神经网络的单视影像DSM生成方法研究,2023-01至2024-12,主持
  5. 煤炭开采水资源保护与利用全国重点实验室开放基金,神东矿区高强度开采下“地表变形-植被扰动”时空演化规律研究,2023-08至2025-07,主持
  6. 自然资源要素耦合过程与效应重点实验室开放课题,多源数据融合的矿区精细用地分类与生态环境质量评价,2022-11至2024-10,主持
  7. 国家重点研发计划-政府间国际科技创新合作,时空大数据驱动的可持续发展城市人居环境监测评估与应用示范,2022-01 至 2024-12,参与

发明专利:

  1. 杜守航, 杜世宏, 崔希民, 张修远, 刘波, 李炜. 一种融合高分影像和 POI 数据的功能区提取与分类方法. ZL20221 0543624.2 (发明专利已授权)
  2. 杜守航, 邢江河, 王绍宇, 李军, 张成业, 李炜. 一种单视遥感影像高度估计和语义分割多任务预测方法. ZL 202211306355.4 (发明专利已授权)
  3. 杜守航, 邢江河. 一种基于深度学习算法的单幅遥感影像高度信息估算方法. ZL 2022 1 0547696.4 (发明专利已授权)