博文
- 基于CYGNSS数据的时空约束人工智能模型用于土壤湿度反演
- Changzhi Yang, Kebiao Mao, Jiancheng Shi, Zhonghua Guo, Sayed M. Bateni, A Time-Constrained and Spatially Explicit AI Model for Soil Moisture Inversion Using CYGNSS Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 5100-5119. PDF 下载： https: ...
- 基于人工智能的嵌套大小模型用于被动微波土壤湿度和地表温度反演方法
- Mengjie Liang, Kebiao Mao, Jiancheng Shi, Sayed M. Bateni, Fei Meng, An AI-Based Nested Large-Small Model for Passive Microwave Soil Moisture and Land Surface Temperature Retrieval Method, Remote Sensing, 2025, 17, 1198,1-33. PDF 下载： https://doi.org/10.3390/rs17071198 基于人工智能的嵌套 ...
- 利用知识蒸馏技术对AI大模型和小模型进行联合优化以反演地表温度和发射率
- Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao, Joint Optimization of AI Large and Small Models for Surface Temperature and Emissivity Retrieval Using Knowledge Distillation, Artificial Intelligence in Agriculture, 2025, 15,407–425. PDF下载： https://d ...
- 评估并量化星球轨道变化对地球温度变化的影响和贡献
- 【引文方式及原文链接】： Mengmeng Cao, Kebiao Mao, Sayed M. Bateni, Jing M. Chen, Essam Heggy, Jong-Seong Kug Xinyi Shen, Evaluation and prediction of the effects of planetary orbital variations to earth’s temperature changes, International Journal of Digital Earth, 2025, 18(1), 1-24. DOI: ...
