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

Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 419)

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.

Keywords

The remote sensing image Bright color vehicle extraction Classification Precision 
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Notes

Acknowledgements

This research was financially supported by the natural science foundation of Xinjiang Province (2015211C282).

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Copyright information

© Springer Science+Business Media Singapore 2018

Authors and Affiliations

  1. 1.College of Mechanical EngineeringXinjiang UniversityUrumqiChina
  2. 2.Traffic CollegeWuhan University of TechnologyWuhanChina

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