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Proceedings Paper

Vehicle detection of parking lot with different resolution aerial images
Author(s): Zezhong Zheng; Yufeng Lu; Guoqing Zhou; Yalan Liu; Xiaowen Li; Jinxi Chen; Jiang Li
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Paper Abstract

Vehicle detection is a very important task for intelligent transportation system. In this paper, a method with mathematical morphology and template matching is presented to detect the crowded vehicles of parking lot with high resolution aerial image. Our experimental results with high resolution aerial image showed that the graded image, with the spatial resolution of 1×1ft, could greatly reduce the calculation time, but with the same accuracy as the original image with the spatial resolution of 0.5×0.5ft .

Paper Details

Date Published: 26 November 2014
PDF: 6 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92632W (26 November 2014); doi: 10.1117/12.2069091
Show Author Affiliations
Zezhong Zheng, Univ. of Electronic Science and Technology of China (China)
Chengdu Univ. of Technology (China)
Joint Lab. of Beijing Normal Univ. and the Institute of Remote Sensing and Digital Earth (China)
Yufeng Lu, Univ. of Electronic Science and Technology of China (China)
Chengdu Univ. of Technology (China)
Joint Lab. of Beijing Normal Univ. and the Institute of Remote Sensing and Digital Earth (China)
Guoqing Zhou, Guangxi Key Lab. for Spatial Information and Geomatics (China)
Yalan Liu, Institute of Remote Sensing and Digital Earth (China)
Xiaowen Li, Joint Lab. of Beijing Normal Univ. and the Institute of Remote Sensing and Digital Earth (China)
Jinxi Chen, Univ. of Electronic Science and Technology of China (China)
Jiang Li, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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