Infrared Technology, Volume. 47, Issue 7, 833(2025)
Multiple Feature Fusion for Unmanned Aerial Vehicle Image Recognition in Foggy Weather
[1] [1] Wijitdechakul J, Sasaki S, Kiyoki Y, et al. UAV-based multispectral image analysis system with semantic computing for agricultural health conditions monitoring and real-time management[C]//2016International Electronics Symposium(IES).IEEE, 2016: 459-464.
[14] [14] Haralick R M, Shanmugam K, Dinstein I H. Textural features for image classification[J].IEEE Transactions on Systems, Man, and Cybernetics, 1973(6): 610-621.
[16] [16] HE K, SUN J, TANG X. Single image haze removal using dark channel prior[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010,33(12): 2341-2353.
[17] [17] Vapnik V N. Pattern recognition using generalized portrait method[J].Automation and Remote Control, 1963,24(6): 774-780.
[19] [19] Asery R, Sunkaria R K, Sharma L D, et al. Fog detection using GLCM based features and SVM[C]//2016Conference on Advances in Signal Processing(CASP).IEEE, 2016: 72-76.
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DING Zitian, XI Wenfei, QIAN Tanghui, GUO Junqi, JIN Tingting, HONG Wenyu, GUI Fuyu. Multiple Feature Fusion for Unmanned Aerial Vehicle Image Recognition in Foggy Weather[J]. Infrared Technology, 2025, 47(7): 833