{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T08:02:06Z","timestamp":1781856126447,"version":"3.54.5"},"reference-count":36,"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":"NRL base program","award":["6.2 LOOP"],"award-info":[{"award-number":["6.2 LOOP"]}]}],"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.2025.3543680","type":"journal-article","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T18:51:20Z","timestamp":1739991080000},"page":"7707-7727","source":"Crossref","is-referenced-by-count":6,"title":["Subpixel Target Detection in Hyperspectral Imaging Using a Deep Neural Network With a Variable Stepsize Gradient Descent Method"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5857-0223","authenticated-orcid":false,"given":"Edisanter","family":"Lo","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Susquehanna University, Selinsgrove, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0552-1713","authenticated-orcid":false,"given":"Damien B.","family":"Josset","sequence":"additional","affiliation":[{"name":"U.S. Naval Research Laboratory, Ocean Sciences Division, NASA Stennis Space Center, Hancock County, MS, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3276995"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3040221"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3246565"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3249748"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267890"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3219855"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3293328"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3437460"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3400321"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12154"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3335484"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3351179"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/78.782198"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2272697"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/78.890324"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9553104"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1117\/12.2223943"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8128168"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/12.2531310"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1201\/9781003382010-24"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883130"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10281888"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3508261"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1117\/12.816917"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS53475.2024.10642373"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/0330046"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.4135\/9781412983907.n1717"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref31","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/0471722138"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2008.4779144"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/WNYIPW.2010.5649748"},{"key":"ref35","first-page":"37","article-title":"The HyMap airborne hyperspectral sensor: The system, calibration and performance","volume-title":"Proc. 1st EARSeL Workshop Imag. Spectrosc.","author":"Cocks","year":"1998"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS53475.2024.10641190"}],"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\/10892630.pdf?arnumber=10892630","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T18:27:57Z","timestamp":1742840877000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10892630\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3543680","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}