• DocumentCode
    3306865
  • Title

    Road extraction from high-resolution remotely sensed panchromatic image in different research scales

  • Author

    Shen, Zhangfeng ; Luo, Jiancheng ; Gao, Lijing

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    As a main factor of evaluating city development speed, road is one of the fast information updating element during city development. Road information extraction based on high-resolution remotely sensed images has very important significance because road affects city land use-cover change. Based on the synthetically analyzing all kinds of road extraction method from high-resolution remotely sensed images, this paper presents the road extraction method that firstly extracts parcel-units from the experimental image based on different scales, and then analyzes the parcel-units assisted by transcendental knowledge. This method can extract road information exactly by object-oriented method, and can acquire different-scale roads according to the user´s requirement. At last this paper gives the road information extraction result analysis of the experiment sample.
  • Keywords
    feature extraction; formal specification; geophysical image processing; image resolution; object-oriented methods; roads; terrain mapping; city development; city land use-cover change; different-scale road; high-resolution remotely sensed panchromatic image; information updating element; object-oriented method; parcel-unit; road information extraction; transcendental knowledge; user requirement; Cities and towns; Classification algorithms; Data mining; Feature extraction; Image segmentation; Remote sensing; Roads; Panchromatic image; parcel-unit; road extraction; scale; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649912
  • Filename
    5649912