• DocumentCode
    3062922
  • Title

    The relation between accuracy and size of structure element for vehicle detection with high resolution highway aerial images

  • Author

    Shang Li ; Guoqing Zhou ; Zezhong Zheng ; Yalan Liu ; Xiaowen Li ; Ying Zhang ; Tao Yue

  • Author_Institution
    Sch. of Resources & Environ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2645
  • Lastpage
    2648
  • Abstract
    It is a robust and efficient method that utilizes morphological operators, and Otsu threshold together with GIS road vector to detect vehicles from high resolution highway aerial images. Our previous experiments showed that the method resulted in a high correctness, completeness, and quality. However, we did not discuss the relation between the accuracy and the size of structure element for vehicle detection with high resolution highway aerial images. The space resolution of our aerial images is 0.15×0.15m, and most vehicles´ size is normally 5×2m, approaching 34×14 pixels. Thus, we selected a disc as structure element, but the disc´s radius should be less than 7 pixels. We compared the vehicle detection accuracy with 3 pixels, 4 pixels, 5 pixels, 6 pixels, and 7 pixels of disc with different size. Our result showed that the radius with 5 pixels or 6 pixels obtained the highest accuracy.
  • Keywords
    aerial equipment; vehicles; disc; high resolution highway aerial images; space resolution; structure element; vehicle detection; Accuracy; Gray-scale; Image resolution; Remote sensing; Road transportation; Vehicle detection; Vehicles; Vehicle detection; morphological operators; size of structure element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723366
  • Filename
    6723366