The DASH (Doppler Asymmetric Spatial Heterodyne) is used to detect the upper atmospheric wind velocity by its imaging Fizeau interference fringes. There are two wind measurement methods: Fourier series method (FSM) and popular Fourier transform method (FTM). However, the wind measurement accuracy of FTM is greatly influenced by window function, and the calculation amount is relatively complicated. The Four-point algorithm (FPA) for DASH’ s wind measurement is proposed in this paper. The contents of wind measurement principle, forward modeling, noise and inversion by the FSM, FTM and FPA are wholly compared and researched. The three wind measurement methods are all derived from the phase difference transformation of DASH Fizeau interference fringes. The Fizeau interference fringes with wind speed of 0-100m/s at the interval of 10m/s is simulated, and the forward wind speed is obtained by FSM, FTM and FPA, and the corresponding wind measurement errors are 2.93%, 4.67% and 3.00%,respectively. After artificially adding Gaussian noise with a mean value of 0 and a standard deviation of 0.1, FSM, FTM and FPA are used to forward the Fizeau interference fringes after flat field, and the corresponding relative errors are 2.30%, 11.66% and 2.27% respectively. After artificially adding Gaussian noise, the Fizeau interference fringes of wind speeds of 31-39m/s with 1m/s interval and 30.1-30.9m/s with 0.1m/s interval are simulated, and the forward wind speeds are obtained by FSM and FPA. In both cases, the wind measurement errors of FSM are 3.55% and 4.15% higher than those of FPA. The O(<sup>1</sup>S)557.7nm airglow at peak altitude of 98 km was photographed by our GBAII (Ground based airglow imaging interferometer)-DASH, and the imaging interferograms with zenith angles of 0 ° and 45 ° were obtained. Then by the methods of Fourier series, Fourier transform and FPA were used to obtain the inversion wind speed of 32.21m/s, 43.55m/s and 32.17m/s, respectively. From the forward and inversion results of DASH, we can see that the FPA has a better results for detecting the upper atmospheric wind, for its simple calculation and smaller wind measurement error.