学术成果
一、发表的学术论文
[1] 丁晨, 彭程, 唐建波*, 等.顾及多级空间索引结构的矢量地图局部加密方法[J]. 测绘学报, 2024, 53(03): 569-581. https://doi.org/10.11947/j.AGCS.2024.20220564
[2] 王军杰, 王达, 丁晨*, 等. 顾及地理环境各向异性的 PM2.5浓度时空预测模型[J]. 地球信息科学学报, 2024, 26(09). https://doi.org/10.12082/dqxxkx.2024.240238
[3] Ding, C. (丁晨), Tang, J., Deng, M., Liu, H., & Mei, X. A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system[J]. International Journal of Geographical Information Science, 2024, 1–29. https://doi.org/10.1080/13658816.2024.2381225.
[4] Ding, C. (丁晨), Tang, J., Tang, Z., Deng, M., Wang, W., & Liu, H. (2025). Geographical Scene: The Natural Unit for Geographical Analysis and Its Recognition Based on Data with Spatial and Semantic Features. Annals of the American Association of Geographers, 115(8), 1926–1954. https://doi.org/10.1080/24694452.2025.2511945
[5] Ding, C. (丁晨), Tang, J., Zhang, M., Wu, H., & Wang, B. (2025). Identifying dynamic functions of urban areas with a multi-temporal collaborative graph neural network model. International Journal of Geographical Information Science, 1–34. https://doi.org/10.1080/13658816.2025.2517195
[6] Liu, H., Wang, W., Tang, J., Deng, M., & Ding, C.* (丁晨). A Building Group Recognition Method Integrating Spatial and Semantic Similarity. ISPRS International Journal of Geo-Information. 2025; 14(4):154. https://doi.org/10.3390/ijgi14040154
[7] Tang, J., Jiang, X., Huang, C., Ding, C.* (丁晨), Deng, M., Huang, Z., Duan, J., & Zhu, X. Texture-Adaptive Hierarchical Encryption Method for Large-Scale HR Remote Sensing Image Data. Remote Sens. 2025, 17, 2940. https://doi.org/10.3390/rs17172940
二、申请的发明专利与软件著作权
[1] 丁晨, 罗靓, 邓敏, 石岩. 城市区域的可视性分析方法. 国家发明专利, 2022, CN202010871200.X, 授权.
[2] 丁晨, 邓敏, 唐建波, 王晶. 基于多级空间索引的矢量数据网络传输局部加解密方法. 国家发明专利, 2024, CN113901159A, 授权.
[3] 唐建波, 丁晨, 邓敏, 王军杰, 刘慧敏, 杨学习, 王汶珮, 赵宇昕. 城市三维空间用地功能属性识别与时空变化监测分析方法. 国家发明专利, 2023, CN202310882506.9, 授权.
