Paper
26 November 2014 Vehicle detection of parking lot with different resolution aerial images
Zezhong Zheng, Yufeng Lu, Guoqing Zhou, Yalan Liu, Xiaowen Li, Jinxi Chen, Jiang Li
Author Affiliations +
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 .
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zezhong Zheng, Yufeng Lu, Guoqing Zhou, Yalan Liu, Xiaowen Li, Jinxi Chen, and Jiang Li "Vehicle detection of parking lot with different resolution aerial images", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92632W (26 November 2014); https://doi.org/10.1117/12.2069091
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KEYWORDS
Image resolution

Spatial resolution

Mathematical morphology

Remote sensing

Edge detection

Intelligence systems

Roads

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