Abstract
The image segmentation is the basis of recognition and classification in digital image field. Choosing appropriate segmentation methods and software is necessary. The object-oriented software, eCognition and ENVI, and the software of EDISON based on Mean Shift algorithm, any of which can be used to segment image. This research segmented the pretreated UAV high-resolution sensing image by these software and compared the segmentation results. The result shows: The segmentation results effect of the same type of ground objects with complex texture by eCognition is superior to that of ENVI and EDISON. The segmentation effect of the same type of ground objects with similar spectral character by ENVI and EDISON is superior to that of eCognition.
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 callMore From: DEStech Transactions on Social Science, Education and Human Science
Disclaimer: 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.
