Abstract
High-resolution remote sensing image could provide much detailed information of the surface of the ground.It becomes a hotpot of RS research to use the image analysis methods to fulfill object extraction and update the geography information database.Traditional pixel-level approaches merely utilize the spectral characteristic ignoring the abundant spatial information.An object-oriented method is proposed in this paper: firstly the image is processed by segmentation to attain the image objects,then the knowledge is established according to the analysis of the spectral character,geometry character and the spatial relation of the roads in the image,finally the roads could be extracted by making use of the rules defined in the knowledgebase.We choose the IKONOS image of Nanjing city as experiment data to verify the validity of the proposed method,the experiment result shows that it could obtain better effect compared with the traditional method.
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.
