Abstract
The acquisition methods of traditional traffic information have many limitations. Getting a wide range of road traffic information from the remote sensing image becomes a hot research topic of the information acquisition technology in intelligent transportation system. First, this chapter enhanced the remote sensing image to improve the quality of the images; second, it is proceeded with multiscale image segmentation; then used the adjacent classification to classify the image carried out on the segmentation, selected vehicle samples and not selected vehicle samples, and trained classifier to realize image classification; and finally, it evaluated the detection results.
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Acknowledgements
This research was financially supported by the natural science foundation of Xinjiang Province (2015211C282).
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Guo, D., Zhang, J. (2018). The Detection and Precision Analysis of Bright Color Vehicles Based on Remote Sensing Image. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_67
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DOI: https://doi.org/10.1007/978-981-10-3551-7_67
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