{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T14:45:51Z","timestamp":1754145951319,"version":"3.41.2"},"reference-count":89,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Consejo Nacional de Humanidades, Ciencia y Tecnolog&#x00ED;a (Conahcyt), Mexico","award":["789304"],"award-info":[{"award-number":["789304"]}]},{"DOI":"10.13039\/501100001655","name":"Deutscher Akademischer Austauschdienst","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001655","id-type":"DOI","asserted-by":"publisher"}]},{"name":"research stay in Germany"},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f&#x00FC;r Bildung und Forschung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DAAD fellowship","award":["57645446"],"award-info":[{"award-number":["57645446"]}]},{"DOI":"10.13039\/501100002946","name":"Deutsches Zentrum f&#x00FC;r Luft- und Raumfahrt","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002946","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3581058","type":"journal-article","created":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T13:39:27Z","timestamp":1750340367000},"page":"17247-17264","source":"Crossref","is-referenced-by-count":0,"title":["Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9880-7157","authenticated-orcid":false,"given":"Efrain","family":"Padilla-Zepeda","sequence":"first","affiliation":[{"name":"German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2469-8290","authenticated-orcid":false,"given":"Kevin","family":"Alonso","sequence":"additional","affiliation":[{"name":"European Space Agency (ESA), Frascati, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0485-9552","authenticated-orcid":false,"given":"Raquel","family":"De Los Reyes","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9813-7712","authenticated-orcid":false,"given":"Deni","family":"Torres-Roman","sequence":"additional","affiliation":[{"name":"Center for Research and Advanced Studies of IPN (Cinvestav), Guadalajara, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8819-860X","authenticated-orcid":false,"given":"Avi Putri","family":"Pertiwi","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8853-8996","authenticated-orcid":false,"given":"Tobias","family":"Storch","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Wessling, Germany"}]}],"member":"263","reference":[{"volume-title":"Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Land and Cryosphere Applications","year":"2017","author":"Emery","key":"ref1"},{"issue":"7","key":"ref2","first-page":"8830","article-title":"The EnMAP spaceborne imaging spectroscopy mission for Earth observation","volume-title":"Remote Sens.","volume":"7","author":"Guanter","year":"2015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113632"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554224"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112380"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112499"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326053"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s19204471"},{"issue":"10","key":"ref9","first-page":"10232","article-title":"The spectral response of the Landsat-8 operational land imager","volume-title":"Remote Sens.","volume":"6","author":"Barsi","year":"2014"},{"key":"ref10","first-page":"46","article-title":"Preliminary analysis of the performance of the landsat 8\/OLI land surface reflectance product","volume-title":"Remote Sens. Environ.","volume":"185","author":"Vermote","year":"2016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111968"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.026"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s20051428"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.2679977"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883592"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9884123"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2022.112990"},{"key":"ref18","first-page":"1","article-title":"Atmospheric\/Topographic Correction for Satellite Imagery (ATCOR-2\/3 User Guide, Version 9.3.0)","author":"Richter","year":"2019","journal-title":"ReSe Appl. LLC"},{"key":"ref19","article-title":"Atmospheric and Topographic Correction (ATCOR Theoretical Background Document)","author":"Richter","year":"2019","journal-title":"DLR IB"},{"key":"ref20","first-page":"1","article-title":"Transferring deep learning models for cloud detection between Landsat-8 and Proba-V","volume-title":"ISPRS J. Photogrammetry Remote Sens.","volume":"160","author":"Mateo-Garca","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050992"},{"key":"ref22","first-page":"379","article-title":"Cloud detection algorithm comparison and validation for operational Landsat data products","volume-title":"Remote Sens. Environ.","volume":"194","author":"Foga","year":"2017"},{"key":"ref23","article-title":"Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 48 and Sentinel-2 imagery","volume-title":"Remote Sens. Environ.","volume":"231","author":"Qiu","year":"2019"},{"key":"ref24","first-page":"269","article-title":"Improvement and expansion of the fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 47, 8, and Sentinel 2 images","volume-title":"Remote Sens. Environ.","volume":"159","author":"Zhu","year":"2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs11091124"},{"key":"ref26","first-page":"471","article-title":"Improvement of the fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects","volume-title":"Remote Sens. Environ.","volume":"215","author":"Frantz","year":"2018"},{"issue":"7","key":"ref27","first-page":"3928","article-title":"An operational radiometric landsat preprocessing framework for large-area time series applications","volume-title":"IEEE Trans. Geosci. Remote Sens.","volume":"54","author":"Frantz","year":"2016"},{"key":"ref28","first-page":"1","article-title":"IdePix for Sentinel-2 MSI algorithm theoretical basis document","volume-title":"Zenodo","author":"Wevers","year":"2021"},{"key":"ref29","article-title":"Improving cloud detection with machine learning","author":"Zupanc","year":"2017","journal-title":"Planet Stories (Medium)"},{"key":"ref30","article-title":"On cloud detection with multi-temporal data","author":"Puc","year":"2019","journal-title":"Planet Stories (Medium)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2894553"},{"key":"ref32","article-title":"An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC","volume-title":"Int. J. Appl. Earth Observ. Geoinf.","volume":"95","author":"Skakun","year":"2021"},{"issue":"8","key":"ref33","first-page":"1747","article-title":"A multi-temporal method for cloud detection, applied to FORMOSAT-2, VEN ${\\mu }$ S, LANDSAT and SENTINEL-2 images","volume-title":"Remote Sens. Environ.","volume":"114","author":"Hagolle","year":"2010"},{"key":"ref34","first-page":"1","article-title":"MAJA algorithm theoretical basis document","volume-title":"Zenodo","author":"Hagolle","year":"2017"},{"key":"ref35","first-page":"1","article-title":"SENTINEL-2 SEN2COR: L2A processor for users","volume-title":"Proc. Living Planet Symp.","author":"Louis","year":"2016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5270\/esa.balticseal.atbdv2.1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059968"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.006"},{"key":"ref39","article-title":"A review of deep learning methods for semantic segmentation of remote sensing imagery","volume-title":"Expert Syst. Appl.","volume":"169","author":"Yuan","year":"2021"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2805286"},{"key":"ref41","article-title":"A review and meta-analysis of generative adversarial networks and their applications in remote sensing","volume-title":"Int. J. Appl. Earth Observ. Geoinf.","volume":"108","author":"Jozdani","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2899057"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs15071860"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3115699"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030516"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/rs13152965"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951160"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/mgrs.2024.3425961"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282820"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3226371"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3293776"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3209992"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506236"},{"journal-title":"Eur. Environ. Agency","article-title":"Corine land coverCLC 2018 technical guidelines","year":"2018","key":"ref54"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900532"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/rs9010067"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS53475.2024.10642339"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730323"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/rs15051399"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00195"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.02.023"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1186\/s13040-017-0155-3"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref67","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Guo","year":"2017"},{"article-title":"Sentinel-2 annual performance report-year 2023","volume-title":"ESA","year":"2024","key":"ref68"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.3390\/rs13010137"},{"issue":"1","key":"ref70","first-page":"1","article-title":"AERONETA federated instrument network and data archive for aerosol characterization","volume-title":"Remote Sens. Environ.","volume":"66","author":"Holben","year":"1998"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9884037"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3390\/rs16030533"},{"article-title":"Adam: A method for stochastic optimization","year":"2017","author":"Kingma","key":"ref73"},{"issue":"5","key":"ref74","first-page":"367","article-title":"Comparing two k-category assignments by a K-category correlation coefficient","volume-title":"Comput. Biol. Chem.","volume":"28","author":"Gorodkin","year":"2004"},{"article-title":"Metrics for multi-class classification: An overview","year":"2020","author":"Grandini","key":"ref75"},{"issue":"2","key":"ref76","first-page":"442","article-title":"Comparison of the predicted and observed secondary structure of T4 phage lysozyme","volume-title":"Biochimica et Biophysica Acta (BBA) - Protein Struct.","volume":"405","author":"Matthews","year":"1975"},{"key":"ref77","first-page":"11","article-title":"Analysis of multi-class classification performance metrics for remote sensing imagery imbalanced datasets","volume-title":"ECORFAN J. Quantitative Statist. Anal.","volume":"8","author":"Gonzalez-Ramirez","year":"2021"},{"article-title":"Sentinel-2 Level-2A Algorithm Theoretical Basis Document (ATBD)","volume-title":"ESA","year":"2021","key":"ref78"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030590"},{"article-title":"Data quality report","volume-title":"ESA","year":"2018","key":"ref80"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref82","first-page":"1","article-title":"Cross-mission methodology for masking validation: EnMAP cloud mask with Sentinel-5p","volume-title":"Proc. 3rd Workshop Int. Cooperation Spaceborne Imag. Spectrosc.","author":"Padilla-Zepeda","year":"2024"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2024.3467001"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.18.042604"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282341"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS61460.2023.10430776"},{"key":"ref87","article-title":"Towards explainable AI for hyperspectral image classification in edge computing environments","volume-title":"Comput. Elect. Eng.","volume":"103","author":"Lucia","year":"2022"},{"key":"ref88","article-title":"A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation","volume-title":"Int. J. Appl. Earth Observ. Geoinf.","volume":"130","author":"Dehghan-Shoar","year":"2024"},{"key":"ref89","article-title":"Physical informed neural network improving the WRF-CHEM results of air pollution using satellite-based remote sensing data","volume-title":"Atmospheric Environ.","volume":"311","author":"Li","year":"2023"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11045065.pdf?arnumber=11045065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T17:59:34Z","timestamp":1752775174000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11045065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":89,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3581058","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"type":"print","value":"1939-1404"},{"type":"electronic","value":"2151-1535"}],"subject":[],"published":{"date-parts":[[2025]]}}}