Temperature identification and classification method based on dual-band pyroelectric device

The invention relates to the field of temperature identification and classification of pyroelectric detection, in particular to a temperature identification and classification method based on a dual-band pyroelectric device. According to the dual-band characteristic output by a dual-band pyroelectric device, the characteristic that different temperatures of a target black body can map different dual-band ratios is utilized, the dual-band ratios serve as the main characteristic of a signal, and part of characteristics of a time domain and a frequency domain are additionally added to serve as a characteristic set of the signal, so that extraction of the main characteristic of the signal is completed; and the method is combined with machine learning, so that a good temperature identification and classification effect is achieved. The method is easy to implement, can achieve a good classification effect, effectively solves the problem that an existing temperature recognition and classification method is limited b