Classification-based vehicle detection in high- resolution satellite images
نویسندگان
چکیده
In this study we have looked into the problem of vehicle detection in highresolution satellite images. Based on the input from the local road authorities, we have focused not only on highways, but also on inner city roads, where more clutter is expected. The study site is the city of Oslo, Norway. To do vehicle detection in these areas, we propose an automatic approach consisting of a segmentation step followed by two stages of object classification. In the process we utilize the multispectral image, the panchromatic image and a road network. The approach has been tested on Quickbird images, and the results that are obtained have been compared with manual counts and classifications.
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