Speed Detection for Moving Objects from Digital Aerial Camera and QuickBird Sensors
Fumio Yamazaki, Wen Liu, Tuong Thuy Vu · 2007
This paper highlights the method to detect moving objects and measure their speeds from high-resolution satellite images and airborne images. First using the images from Google Earth, “ghosts ” of moving objects seen in pansharpened QuickBird images are demonstrated. The slight time lag (0.2 seconds) between panchromatic and multispectral sensors of QuickBird is responsible for the ghosts and they can be used to measure the speeds of moving objects using only one scene of QuickBird’s “bundle product”. However, due to limitation of the short time lag and the resolution (2.4 m for multispectral bands), high accuracy is expected only for high-speed large objects, e.g. airplanes. A method to detect the speed of vehicles is also proposed using a pair of aerial images. An object-oriented approach is employed to detect cars on an expressway automatically and the accuracy is examined comparing with visual extraction results.