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Gaofen-1 satellite mission, developed by the China National Space Administration (CNSA) for the civilian high-definition Earth observation satellite program, provides near-real-time observations for geographical mapping, environment surveying, and climate change monitoring. Cloud and cloud shadow segmentation are a crucial element to enable automatic near-real-time processing of Gaofen-1 images, and therefore, their performances must be accurately validated. In this paper, a robust multiscale segmentation method based on deep learning is proposed to improve the efficiency and effectiveness of cloud and cloud shadow segmentation from Gaofen-1 images. The proposed method first implements feature map based on the spectral-spatial features from residual convolutional layers and the cloud\/cloud shadow footprints extraction based on a novel loss function to generate the final footprints. The experimental results using Gaofen-1 images demonstrate the more reasonable accuracy and efficient computational cost achievement of the proposed method compared to the cloud and cloud shadow segmentation performance of two existing state-of-the-art methods.<\/jats:p>","DOI":"10.1155\/2020\/8811630","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:05:05Z","timestamp":1604016305000},"page":"1-13","source":"Crossref","is-referenced-by-count":8,"title":["A Deep Learning Method for Near-Real-Time Cloud and Cloud Shadow Segmentation from Gaofen-1 Images"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9565-3615","authenticated-orcid":true,"given":"Mehdi","family":"Khoshboresh-Masouleh","sequence":"first","affiliation":[{"name":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7552-5392","authenticated-orcid":true,"given":"Reza","family":"Shah-Hosseini","sequence":"additional","affiliation":[{"name":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.11.015005"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s11806-007-0047-7"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.13.024508"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.56.7.073103"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.14.032609"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/0273-1177(91)90402-6"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1080\/01431168908903929"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(1993)006<2341:cdusmo>2.0.co;2"},{"key":"9","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/978-981-13-8031-0_2","article-title":"Development of Earth observation satellites","volume-title":"Scientific Satellite and Moon-Based Earth Observation for Global Change","author":"H. 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