气象学报（英文版）2026，Vol.40Issue(3)：619-635,17.DOI:10.1007/s13351-026-5103-z
A Multi-View Sequence Fusion Network for Improving Tropical Cyclone Intensity Estimation
A Multi-View Sequence Fusion Network for Improving Tropical Cyclone Intensity Estimation
摘要
关键词
tropical cyclone intensity estimation/deep learning/satellite observation/rotation-equivariant convolu-tional neural network(CNN)/feature fusionKey words
tropical cyclone intensity estimation/deep learning/satellite observation/rotation-equivariant convolu-tional neural network(CNN)/feature fusion引用本文复制引用
袁时金,王冠淞,张亚珂,穆斌,周菲凡..A Multi-View Sequence Fusion Network for Improving Tropical Cyclone Intensity Estimation[J].气象学报（英文版）,2026,40(3):619-635,17.基金项目
Supported by the Meteorological Joint Fund of the National Natural Science Foundation of China(U2542211 and U2542212),Ori-ginal Exploration Project of the National Natural Science Foundation of China(42450163),and Young Scientists Fund of the National Natural Science Foundation of China(42405147). （U2542211 and U2542212）
