{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T14:48:54Z","timestamp":1777128534021,"version":"3.51.4"},"reference-count":36,"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":["62071156"],"award-info":[{"award-number":["62071156"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3302472","type":"journal-article","created":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:08:32Z","timestamp":1691431712000},"page":"1-14","source":"Crossref","is-referenced-by-count":18,"title":["False-Alarm-Controllable Radar Target Detection by Differentiable Neyman Pearson Criterion for Neural Network"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1954-0464","authenticated-orcid":false,"given":"Yunrong","family":"Zhu","sequence":"first","affiliation":[{"name":"Research Institute of Electronic Engineering and the Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0680-761X","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Electronic Engineering and the Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6457-9432","authenticated-orcid":false,"given":"Qiming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Research Institute of Electronic Engineering and the Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3082044"},{"key":"ref35","first-page":"3546","article-title":"Semi-supervised learning with ladder networks","volume":"2","author":"rasmus","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3081511"},{"key":"ref34","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s17122707"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAIS46528.2019.9074588"},{"key":"ref36","article-title":"A systematic study of the class imbalance problem in convolutional neural networks","author":"buda","year":"2017","journal-title":"arXiv 1710 05381"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9606-5"},{"key":"ref33","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"arXiv 1505 04597"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2019.2896072"},{"key":"ref32","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-1.1986.0009"},{"key":"ref1","first-page":"414","article-title":"Adaptive detection mode with threshold control as a function of spatially sampled clutter-level estimates","volume":"29","author":"finn","year":"1968","journal-title":"RCA Rev"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2894385"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103458"},{"key":"ref19","first-page":"73","author":"neyman","year":"1992","journal-title":"On the Problem of the Most Efficient Tests of Statistical Hypotheses"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3054744"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION49465.2021.9626944"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3039724"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/7.869508"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1980.308885"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2025077"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488119"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2013-44"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1986.310780"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1983.309350"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-1.1988.0068"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2018.5435"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2003.1261145"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2078330"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1049\/el:19810394"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1976.308352"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2020.102831"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2800058"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10210300.pdf?arnumber=10210300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T18:02:46Z","timestamp":1693850566000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10210300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3302472","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}