{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:29:16Z","timestamp":1761294556332,"version":"3.37.3"},"reference-count":35,"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":["U22B2018","62276205","62171357"],"award-info":[{"award-number":["U22B2018","62276205","62171357"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Team in Shaanxi Province of China","award":["2020TD-2017"],"award-info":[{"award-number":["2020TD-2017"]}]},{"name":"Foundation of Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, China"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2022.3228011","type":"journal-article","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T18:37:49Z","timestamp":1671215869000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["Deep Compressive Imaging With Meta-Learning"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4781-7125","authenticated-orcid":false,"given":"Zhi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4796-5737","authenticated-orcid":false,"given":"Shuyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7372-9180","authenticated-orcid":false,"given":"Zhixi","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7571-1662","authenticated-orcid":false,"given":"Min","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1344-6151","authenticated-orcid":false,"given":"Zhifan","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume":"7","author":"Soumekh","year":"1999","journal-title":"Synthetic Aperture Radar Signal Processing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/igarss.2008.4779744"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/7.745697"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2016.2615564"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CGIV.2005.72"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2017.2779795"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3026804"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3165275"},{"issue":"2","key":"ref9","first-page":"133","article-title":"Radar super-resolution imaging based on compressive sensing","volume":"32","author":"Deng","year":"2014","journal-title":"J. Appl. Sci."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2009.2037526"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3065575"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3060829"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2980801"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2962562"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2015.2451992"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2017.2707532"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2020.3046381"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2015.2390623"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/jstsp.2017.2784181"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2018.2866567"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/siprocess.2019.8868757"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2020.2965743"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2019.2934154"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2020.3025053"},{"key":"ref25","first-page":"1","article-title":"Learning to learn by gradient descent by gradient descent","volume-title":"Proc. NeurIPS","author":"Pfau"},{"key":"ref26","first-page":"1","article-title":"Meta-learning update rules for unsupervised representation learning","volume-title":"Proc. ICLR","author":"Metz"},{"key":"ref27","first-page":"1","article-title":"Meta-learning curiosity algorithms","volume-title":"Proc. ICLR","author":"Alet"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10004-4"},{"key":"ref29","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/78.258082"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tit.2011.2146090"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2016.2586843"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2021.3054167"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2020.3034431"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/09991048.pdf?arnumber=9991048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T10:59:05Z","timestamp":1706785145000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9991048\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3228011","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2023]]}}}