This study investigates vehicle detection performance for an airborne video SAR over increasingly wide collection angles. Using a parameterized video SAR generation, it is possible to see the effects of detection on various frame generation methods and apertures. A cell-averaging CFAR detection algorithm is applied to each frame, searching for vehicles. Results show that increasing the azimuth extent of the video SAR improves detection performance. With some imaging methods, a larger azimuth extent helps to suppress background speckle. Also, a larger azimuth extent improves the chances of imaging a vehicle from a more informative cardinal angle.