Atmospheric temperature is the basic parameter for the detection of atmospheric fine structure， and obtaining high-precision atmospheric temperature profile is crucial for weather forecast and climate research. In this paper， the self-developed polarization high-spectral-resolution lidar is used to realize the all-day and high signal-to-noise ratio measurement of atmospheric temperature. The algorithm by combining polarization high-spectral-resolution lidar and microwave radiometer are proposed by linear splicing method， and the complementary advantages of the two are realized. The results show that the polarization high-spectral-resolution lidar can realize the effective detection of atmospheric temperature at a distance of 4 km， and the error is mainly within ±2 K. The detection error of microwave radiometer is relatively low within 3 km， and the error is between -4 K and -2 K above 3 km. After splicing， the error is ±1 K within 3.5 km， and the correlation increases from 0.95 to 0.97. The results show that the lidar can effectively detect the atmospheric temperature in the boundary layer. Through the integration with the microwave radiometer， the blind area problem of the lidar can be solved， and the detection accuracy of the microwave radiometer can be improved.