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논문 기본 정보

자료유형
학술저널
저자정보
Song, Yongjun (Seoul National University) Chung, Minkyung (Seoul National University) Kim, Yongil (Seoul National University)
저널정보
한국측량학회 한국측량학회지 한국측량학회지 제40권 제5호
발행연도
2022.10
수록면
439 - 448 (10page)

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초록· 키워드

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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.

목차

Abstract
1. Introduction
2. Data and Methodology
3. Results and Discussion
4. Conclusion
References

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