Abstract
The paper presents a part of a work concerning cadaster updating from aerial color photographs. The aim is to transmit to a database symbolic information about objects detected in the images. We use neural networks to give each object a label. We proceed in two major steps. In the first step, we send basic information about the three bands green, red and blue to specialized networks. Each of those networks is devoted to recognizing one kind of object. In the second step, we process a method to break ties, if any, in view to give each object one label. That procedure is tested on a sample including 335 objects. >
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.
