The invention discloses an ocean in-situ radioactivity monitoring method, which is characterized in that
feature extraction is carried out based on a maximum likelihood expected value maximization (MLEM)
algorithm, and spectrum unfolding operation is carried out by adopting a multi-layer
perceptron. The method comprises the following steps: firstly, measuring FWHM related parameters of a CeBr3
detector by adopting a standard source, simulating the response of the
detector to gamma rays in a marine environment based on a Monte Carlo method, and establishing a full-spectrum response matrix H in a range of 0-2048keV; based on the response matrix H, reconstructing a
gamma energy spectrum y obtained by the
detector by using an MLEM iterative
algorithm; and the reconstructed spectrum is used as the input of a multi-layer
perceptron (MLP), and qualitative and quantitative analysis of radionuclides in the
energy spectrum is realized. According to the method, the discrete characteristic peak
signal is convolved into the single path address corresponding to the
characteristic energy, so that the accuracy of the MLP model in the spectrum unfolding process is effectively improved.