Research on a Prediction Model Based on a Newton–Raphson-Optimization–XGBoost Algorithm Predicting Environmental Electromagnetic Effects for an Airborne Synthetic Aperture Radar

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書目詳細資料
發表在:	Electronics vol. 14, no. 11 (2025), p. 2202
主要作者:	Shen, Yan
其他作者:	Chen, Yazhou, Wang, Yuming, Ma, Liyun, Zhang, Xiaolu
出版:	MDPI AG
主題:	Standard deviation Test systems Signal to noise ratio Prediction models Synthetic aperture radar Optimization Signal processing Electromagnetic interference Antennas Newton-Raphson method Image degradation Algorithms Performance degradation Image quality Parameters Airborne radar Distance learning Reconnaissance Information warfare
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