Han, X.; Niu, Y.; He, C.; Zhou, D.; Cao, Z.
A Hybrid Semi-Supervised Tri-Training Framework Integrating Traditional Classifiers and Lightweight CNN for High-Resolution Remote Sensing Image Classification. Appl. Sci. 2025, 15, 10353.
https://doi.org/10.3390/app151910353
AMA Style
Han X, Niu Y, He C, Zhou D, Cao Z.
A Hybrid Semi-Supervised Tri-Training Framework Integrating Traditional Classifiers and Lightweight CNN for High-Resolution Remote Sensing Image Classification. Applied Sciences. 2025; 15(19):10353.
https://doi.org/10.3390/app151910353
Chicago/Turabian Style
Han, Xiaopeng, Yukun Niu, Chuan He, Ding Zhou, and Zhigang Cao.
2025. "A Hybrid Semi-Supervised Tri-Training Framework Integrating Traditional Classifiers and Lightweight CNN for High-Resolution Remote Sensing Image Classification" Applied Sciences 15, no. 19: 10353.
https://doi.org/10.3390/app151910353
APA Style
Han, X., Niu, Y., He, C., Zhou, D., & Cao, Z.
(2025). A Hybrid Semi-Supervised Tri-Training Framework Integrating Traditional Classifiers and Lightweight CNN for High-Resolution Remote Sensing Image Classification. Applied Sciences, 15(19), 10353.
https://doi.org/10.3390/app151910353
