首页|期刊导航|极地科学进展（英文版）|Retrieving rare aurora forms from all-sky images via synthetic-to-real progressive learning
Retrieving rare aurora forms from all-sky images via synthetic-to-real progressive learningOA
Retrieving rare aurora forms from all-sky images via synthetic-to-real progressive learning
ZHAI Chaoqiang;WANG Qian
School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,ChinaSchool of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China
fine-scale auroral structuresrare auroral formscross-FOV retrievalGenerative Adversarial Network(GAN)synthetic-to-real progressive learningfeedback-guided learning
fine-scale auroral structuresrare auroral formscross-FOV retrievalGenerative Adversarial Network(GAN)synthetic-to-real progressive learningfeedback-guided learning
《极地科学进展（英文版）》 2026 (1)
70-80,11
This work was supported by the National Natural Science Foundation of China(Grant no.41874173).
评论