{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:11:53Z","timestamp":1774627913702,"version":"3.50.1"},"reference-count":14,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201623"],"award-info":[{"award-number":["62201623"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101603"],"award-info":[{"award-number":["62101603"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001468"],"award-info":[{"award-number":["62001468"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Program","doi-asserted-by":"publisher","award":["KQTD20190929172704911"],"award-info":[{"award-number":["KQTD20190929172704911"]}],"id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Introduced Innovative Research and Development Team Project of \u201cThe Pearl River Talent Recruitment Program\u201d","award":["2019ZT08X751"],"award-info":[{"award-number":["2019ZT08X751"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/lgrs.2023.3329779","type":"journal-article","created":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T14:21:28Z","timestamp":1698934888000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["Modified ADMM-Net for Attributed Scattering Center Decomposition of Synthetic Aperture Radar Targets"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5857-7799","authenticated-orcid":false,"given":"Jia","family":"Duan","sequence":"first","affiliation":[{"name":"School of Electronics and Communication, Sun Yat-sen University, Guangming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1907-3640","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication, Sun Yat-sen University, Guangming, China"}]},{"given":"Yan","family":"Hua","sequence":"additional","affiliation":[{"name":"Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/mgrs.2013.2248301"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2019.2901050"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/12.357628"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/12.373151"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3208333"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/igarss46834.2022.9883598"},{"key":"ref7","article-title":"Feature extraction from synthetic aperture radar imagery","author":"Yeliz","year":"2000"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2320053"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3011332"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2017.2673764"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2569463"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2020.3027630"},{"key":"ref13","first-page":"10","article-title":"Deep ADMM-net for compressive sensing MRI","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Yan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/10034981\/10305587.pdf?arnumber=10305587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:37:25Z","timestamp":1766083045000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10305587\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2023.3329779","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}