An efficient vehicle detection method is proposed for remote sensing images provided by Chinese GF-2 satellite with the 1-meter spatial resolution in this paper. Considering the characteristics of the vehicle on the road in GF-2 image, dark and light vehicles are firstly detected on the masked road using the semi-automatic dual-threshold technique. The residual disturbance (e.g. shadows, lane line and noise) is removed by the adjacent relation and double area filtering. Furthermore, to avoid the detected broken vehicle, an integrity processing is proposed to locate the detected broken vehicle and eliminate the repetition detection. Experimental results on several GF-2 images present the lower miss rate and false rate in vehicle detection.