{"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-remote-sensing-image-dataset-for-cloud","title":"A Remote Sensing Image Dataset for Cloud Removal","arxiv_id":"1901.00600","date":"2019-01-03","proceeding":null,"authors":["Daoyu Lin","Guangluan Xu","Xiaoke Wang","Yang Wang","Xian Sun","Kun fu"],"abstract":"Cloud-based overlays are often present in optical remote sensing images, thus\nlimiting the application of acquired data. Removing clouds is an indispensable\npre-processing step in remote sensing image analysis. Deep learning has\nachieved great success in the field of remote sensing in recent years,\nincluding scene classification and change detection. However, deep learning is\nrarely applied in remote sensing image removal clouds. The reason is the lack\nof data sets for training neural networks. In order to solve this problem, this\npaper first proposed the Remote sensing Image Cloud rEmoving dataset (RICE).\nThe proposed dataset consists of two parts: RICE1 contains 500 pairs of images,\neach pair has images with cloud and cloudless size of 512*512; RICE2 contains\n450 sets of images, each set contains three 512*512 size images. ,\nrespectively, the reference picture without clouds, the picture of the cloud\nand the mask of its cloud. The dataset is freely available at\n\\url{https://github.com/BUPTLdy/RICE_DATASET}.","url_abs":"http://arxiv.org/abs/1901.00600v1","url_pdf":"http://arxiv.org/pdf/1901.00600v1.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-remote-sensing-image-dataset-for-cloud","repo_url":"https://github.com/BUPTLdy/RICE_DATASET","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-remote-sensing-image-dataset-for-cloud","repo_url":"https://github.com/XavierJiezou/cloud-removal-deploy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"change-detection","task_name":"Change Detection"},{"task_slug":"cloud-removal","task_name":"Cloud Removal"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"scene-classification","task_name":"Scene Classification"}],"methods":[],"datasets_introduced":[{"slug":"rice","name":"RICE","full_name":"Remote sensing Image Cloud rEmoving"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1901.00600","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}