The invention discloses a multi-
spectral radiation temperature measurement method and
system for improving a
quantum particle swarm, relates to the field of
radiation temperature measurement and photoelectric
signal processing, and solves the problems that when an existing standard PSO
algorithm is applied to high-dimensional and nonlinear multi-
spectral inversion, local extreme values are likely to be trapped, and the self-
adaptive capacity is poor. Setting parameters, generating an initial
particle position by using Tent
chaotic mapping, calculating the particle fitness of an initialized
population, updating initial individual optimum and
global optimum, and calculating an average optimal
particle position; updating the optimal
particle position through a Levy flight mechanism; and repeating the steps, calculating the multispectral
radiation temperature measurement target function value of the updated position, updating the initial individual optimum and the
global optimum, and if an error threshold value or the maximum number of iterations is met, outputting the
global optimum solution. The method is also suitable for the application field of inverting the real temperature and the spectral
emissivity of the target from the multi-channel
spectral radiation signals and the like.