Abstract
Mapping of urban land cover using remote sensing technology has been widely explored, especially with the recent availability of high resolution images and object-based analysis techniques. This study uses the InterIMAGE software and WorldView-2 sensor imagery, two recent technologies useful for urban studies, to classify land cover in a metropolitan area of São Paulo, Brazil. Therefore, this work aims to compare the classification performance of two urban land cover thematic maps produced by the object-based image analysis (OBIA) and C4.5 data mining algorithm. The results showed that data mining technique presented classification performance similar to the OBIA method but in a reduced computational time once the entire processing is optimized.
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.
