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卫星遥感图像分析方法及其应用、InSAR算法研制与软件开发、地下开采沉降监测与建模、图像分类等研究
- Du, Z.*, Ng, A.H.-M., Ge, L. (2024). Towards a better understanding of the correlation between the subsidence pattern and land use type. Frontiers in Earth Scie.
- Liu, X., Ng, A.H.-M.*, Ge, L., Lei, F., Liao, X. (2024). Multibranch Fusion: A Multibranch Attention Framework by Combining Graph Convolutional Network and CNN .
- Ng, A.H.-M., Wen, B., Ma, Y., Guo, L., Wang, H., Ge, L., Du, Z. (2024). Integrating Spatial Modeling-Assisted InSAR Phase Unwrapping with Temporal Analysis for .
- Yang, X., Wang, H.*, Pagli, C., Ng, A.H.-M. (2024). Closure-based correction of InSAR phase unwrapping errors by integrating block-wise Tikhonov regularization .
- Tang, W., Ng, A.H.-M.*, Wang, H., Kuang, J., & Du, Z. (2024). Surface Subsidence Characteristics and Causes Analysis in Ningbo Plain by Sentinel-1A TS-InSAR. Re.
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- “多源时序雷达干涉形变信号数据集成与挖掘方法”(42274016), 国家自然科学基金面上项目, 56万,2023-01至2026-12,主持,
- “Study of polarimetric-assisted time-series interferometric SAR technique for land deformation detection and target characterization”(ER3A2N066), 第三次研究,
- “基于时序InSAR与地表形变模型的开采沉陷监测方法研究”(2021A1515011483),广东省自然科学基金,10万,2021-2023,主持,
- Guangdong Provincial Demonstration Center for Surveying and Mapping Experimental Teaching, Guangdong Provincial Demonstration Center for Experimental Teaching, ,
- 青年拔尖人才项目(2019QN01S107),广东省“珠江人才计划”,2020至2025,主持,