Detecting targets in aerial imagery plays an important role in military reconnaissance and defense. One of the main difficulties in aerial imagery detection at a wide range of height is instability that detection is performed well only to the test data obtained at the same height range with the training data. To solve this problem, we utilize the sensor metadata to calculate GSD (Ground Sample Distance) and pixel size of the vehicle in our test images which are dependent on height. Based on this information, we estimate the optimal ratio for image preprocessing and adjust it to the test images. As a result, it detects the vehicles taken at a range of 100m to 300m with a higher F1 -score than other approach which doesn't consider the metadata. Keywords: vehicle detection, aerial imagery, UAS metadata
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