{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-framework-for-remote-sensing-images","title":"A framework for remote sensing images processing using deep learning technique","arxiv_id":"1807.06535","date":"2018-07-17","proceeding":null,"authors":["Rémi Cresson"],"abstract":"Deep learning techniques are becoming increasingly important to solve a\nnumber of image processing tasks. Among common algorithms, Convolutional Neural\nNetworks and Recurrent Neural Networks based systems achieve state of the art\nresults on satellite and aerial imagery in many applications. While these\napproaches are subject to scientific interest, there is currently no\noperational and generic implementation available at user-level for the remote\nsensing community. In this paper, we presents a framework enabling the use of\ndeep learning techniques with remote sensing images and geospatial data. Our\nsolution takes roots in two extensively used open-source libraries, the remote\nsensing image processing library Orfeo ToolBox, and the high performance\nnumerical computation library TensorFlow. It can apply deep nets without\nrestriction on images size and is computationally efficient, regardless\nhardware configuration.","url_abs":"http://arxiv.org/abs/1807.06535v2","url_pdf":"http://arxiv.org/pdf/1807.06535v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-framework-for-remote-sensing-images","repo_url":"https://github.com/remicres/otbtf","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.06535","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}