• DocumentCode
    3544382
  • Title

    Extracting road networks with the aid of log gabor filters

  • Author

    Zhou, Shaoguang ; Li, Hao ; An, Ru

  • Author_Institution
    Dept. of Surveying & Mapping Eng., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    A new method is proposed to extract road networks in urban areas from high resolution satellite images. The first step is to segment road from other objects based on the real part of the transform of log Gabor function. An improved line segment matching method is then applied to the binary image to eliminate nonroad objects. After removing the short and irregular speckles in the segmented image, road segments may be detected easily. Connecting road segments finally produces the road networks. Experiments demonstrate that the proposed method can extract road networks in high-resolution satellite images efficiently.
  • Keywords
    Gabor filters; geophysical signal processing; geophysical techniques; image processing; roads; binary image; high resolution satellite images; line segment matching method; log Gabor filters; log Gabor function; road networks; road segments; Area measurement; Data mining; Gabor filters; Image edge detection; Image processing; Image resolution; Image segmentation; Joining processes; Roads; Satellites; Log Gabor filter; image segmentation; line segment matching method; road network extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274500
  • Filename
    5274500