DOI: 10.1039/d6ja00054a ISSN: 0267-9477
Airborne gamma spectrum smoothing method utilizing a generalized support vector regression machine
Yong-Xiang Zou, Wan-Chang Lai, Shu-Hao Ma, Zong-Liang Wu, Guang-Xing Wang, Qiang YangA generalized ε -SVR model with density-shift parameter µ is proposed for nonlinear airborne gamma-ray spectrum smoothing. It suppresses statistical fluctuations while preserving peaks, achieving ∼98% improvement in smoothing goodness and ∼99% reduction in spectral distortion.