Abstract
In the traditional Space-to-Earth car detection system,thermal infrared,radar or aerial image data are often used,while high-resolution satellite remote sensing data have rarely been employed.To solve this problem,this paper proposes a new method for car detection based on high resolution satellite images,which is named BIS(Background Iterative Search).Firstly,according to the local differences between the object and the background,the background is searched and removed,and the preliminary car detection is achieved based on the material properties of cars.Secondly,the dynamic twin peak threshold method is used to separate roads from non-roads,and roads are roughly extracted based on shape features.Lastly,the correct car objects are obtained by constraining the elementary ones with the derived road information.The BIS method was applied with IKONOS and QuikBird data and proved to be effective.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
