Abstract
The application of intelligent systems within the field of remote sensing is reviewed with special reference to urban land cover mapping from digital satellite imagery. Urban areas constitute spectrally heterogenous land-cover classes and call for the application of intelligent, texture-based image processing methods. The appearance of an urban land-cover class in a digital image generated by remote sensing is closely related to the spatial resolution of the image, i.e. significant changes occur as a result of increased/decreased spatial resolution. This paper discuss how texture information may be derived automatically from a generic spatial model of a possibly composite urban land cover class describing basic properties of the subordinate object classes and the spatial relations between these. A method based on prediction of cooccurrence matrix values corresponding to an urban land-cover class at a specific spatial resolution is described.
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.
