Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Moving Vehicle Detection from Single-pass Worldview-3 Imagery Using Spatial Correlation Map

  • Song, Yongjun (Dept. of Civil and Environmental Engineering, Seoul National University) ;
  • Chung, Minkyung (Dept. of Civil and Environmental Engineering, Seoul National University) ;
  • Kim, Yongil (Dept. of Civil and Environmental Engineering, Seoul National University)
  • Received : 2022.09.26
  • Accepted : 2022.10.20
  • Published : 2022.10.31
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Abstract

MV (Moving Vehicle) detection using satellite imagery is important for traffic monitoring and provides a wide range of observations. Specifically, MV detection methods utilizing the time lag in single-pass optical satellite images have been studied for detecting MVs from a single set of images. Because of limitations in detecting MVs outside of roads, most previous studies required road information to limit the moving object to cars on the road. However, it is difficult to obtain road information from inaccessible areas. Therefore, this study proposed a new method for detecting MVs regardless of their locations from single-pass optical satellite images without using additional data. WV-3 (Worldview-3) satellite images were used, and a spatial correlation coefficient map was proposed to detect spatial displacement which denotes MVs across two WV-3 MS images. Finally, evaluation was performed through quantitative metrics and visual inspection. The evaluation results revealed that the proposed method can detect MV movements from the single-pass satellite images. On the contrary, misdetected or undetected MVs due to radiometric differences between the images could be identified by visual inspection. The performance of the proposed method can be improved by minimizing radiometric variations and adding conditions that are robust to radiometric differences between the images.

Keywords

Acknowledgement

This work was supported by the Agency For Defense Development by the Korean Government(UD210026VD) and financially supported by Korea Ministry of Land, Infrastructure and Transport(MOLIT) as 「Innovative Talent Education Program for Smart City」. The Institute of Engineering Research at Seoul National University provided research facilities for this work.

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