The Detection and Precision Analysis of Bright Color Vehicles Based on Remote Sensing Image

摘要

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.