Abstract
This paper presents an approach for automatic recognition of interest objects from the low earth orbit that are visible in astronomical images. The main interest objects are satellites, but various objects, such as planes, stars, can be identified. The proposed technique starts with background estimation and removal. Then, potential objects are identified by labeling the background free image. Relevant features are computed for each individual object and used for classification, which is performed with a decision tree. Real and relevant data was used to evaluate the performance of this methodology and to determine its main strengths and weaknesses.
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.
