The improvement of the MIGFA technique is made based on the gust front echo features along the Yangtze River in Jiangsu detected by the Nanjing CINRAD/SA weather radar. Considering the smoothing algorithm and the low elevation data fusion, the 0.5° reflectivity echo thin line functional template is improved and the higher elevation echo thin line functional template is designed based on the gust front features. The original spatial difference reflectivity functional template is replaced by the double higher elevation reflectivity thin line functional templates. A group of the dynamicweighting functions is designed to combine the score array by the relationship of the gust front features and its distance from the station so as to effectively identify the gust front echo. Through the angle judgment and the echo flatness testing, the false alarm rate is further reduced. Finally, the effect of the identification is made by the gust front process seen on 14 June 2009 and detected with the Nanjing radar. And the effect of the evaluation is also made by 120 gust front samples in Nanjing radar. The results show that the critical success index is increased from 0.39 to 0.60 and the false alarm rate is reduced from 0.34 to 0.16 through the improving MIGFA.