{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T07:45:12Z","timestamp":1769931912722,"version":"3.49.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2030291"],"award-info":[{"award-number":["2030291"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2047771"],"award-info":[{"award-number":["2047771"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jet Propulsion Laboratory, California Institute of Technology"},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["80NM0018D0004"],"award-info":[{"award-number":["80NM0018D0004"]}],"id":[{"id":"10.13039\/100000104","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":[[2024]]},"DOI":"10.1109\/jstars.2023.3333268","type":"journal-article","created":{"date-parts":[[2023,11,15]],"date-time":"2023-11-15T18:59:24Z","timestamp":1700074764000},"page":"748-765","source":"Crossref","is-referenced-by-count":10,"title":["Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2022-9761","authenticated-orcid":false,"given":"Ahmed Manavi","family":"Alam","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, and Information Processing and Sensing Lab, Mississippi State University, Mississippi State, MS, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5750-9014","authenticated-orcid":false,"given":"Mehmet","family":"Kurum","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7142-6899","authenticated-orcid":false,"given":"Mehmet","family":"Ogut","sequence":"additional","affiliation":[{"name":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8923-0299","authenticated-orcid":false,"given":"Ali C.","family":"Gurbuz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, and Information Processing and Sensing Lab, Mississippi State University, Mississippi State, MS, USA"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2899110"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2954454"},{"key":"ref15","article-title":"SMAP handbook–soil moisture active passive: Mapping soil moisture and freeze\/thaw from space","author":"entekhabi","year":"2014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8126938"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2561938"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2012.06.005"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2033096"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5067\/ZHHBN1KQLI20"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5067\/JGV8EY3FGAH1"},{"key":"ref19","article-title":"SMAP L1B Radiometer half-orbit time-ordered brightness temperatures, version 5| National Snow and Ice Data Center","year":"0"},{"key":"ref18","article-title":"SMAP L1A Radiometer Time-ordered parsed telemetry, version 2| National Snow and Ice Data Center","year":"0"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.01.021"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3223198"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2006.27"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.882801"},{"key":"ref48","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref47","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","article-title":"An overview of overfitting and its solutions","volume":"1168","author":"yan","year":"2019","journal-title":"J Physics Conf Ser"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-006-0663-2"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10546-013-9861-7"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH1769.1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282140"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/36.823900"},{"key":"ref7","article-title":"Microwave remote sensing: Active and passive. volume 1 - microwave remote sensing fundamentals and radiometry","author":"ulaby","year":"1981"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2435493"},{"key":"ref4","article-title":"Microwave radiometer systems: Design and analysis","author":"vine","year":"2006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/36.7685"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/36.992824"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00376-006-0008-3"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638963"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/math8050662"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"ref37","first-page":"5276","article-title":"Towards fast computation of certified robustness for ReLU networks","author":"weng","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.6000\/1927-5129.2017.13.76"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10283002"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9884010"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084827"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/5.338071"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.1976.1141324"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"},{"key":"ref38","first-page":"2488","article-title":"How does batch normalization help optimization?","volume":"31","author":"santurkar","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","article-title":"Soil moisture active passive (SMAP) algorithm theoretical basis document (ATBD) SMAP calibrated, time-ordered brightness temperatures L1B TB data product","author":"piepmeier","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.08.025"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730848"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519172"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2043918"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2902492"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2631978"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10281401"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2281266"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3091873"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/4609443\/10330207\/10318952-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/10330207\/10318952.pdf?arnumber=10318952","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T22:29:16Z","timestamp":1702420156000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10318952\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3333268","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}