{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T05:21:59Z","timestamp":1774934519998,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61522114"],"award-info":[{"award-number":["61522114"]}],"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":["61631019"],"award-info":[{"award-number":["61631019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSAF","award":["U1430123"],"award-info":[{"award-number":["U1430123"]}]},{"name":"Foundation for the Author of National Excellent Doctoral Dissertation of China","award":["201448"],"award-info":[{"award-number":["201448"]}]},{"name":"Young Scientist Award of Shaanxi Province","award":["2016KJXX-82"],"award-info":[{"award-number":["2016KJXX-82"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/tgrs.2018.2849967","type":"journal-article","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T18:39:50Z","timestamp":1532630390000},"page":"7282-7293","source":"Crossref","is-referenced-by-count":106,"title":["SAR ATR of Ground Vehicles Based on LM-BN-CNN"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1514-7393","authenticated-orcid":false,"given":"Feng","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9283-1810","authenticated-orcid":false,"given":"Xueru","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Hui","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"31-1","article-title":"ATR of battlefield targets by SAR&#x2014;Classification results using the public MSTAR dataset compared with a dataset by QinetiQ, UK","author":"schumacher","year":"2004","journal-title":"Proc RTO SET Symp Target Identificat Recognit Using RF Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2005.1435813"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2513754"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"98430n","DOI":"10.1117\/12.2220290","article-title":"Modern approaches in deep learning for SAR ATR","volume":"9843","author":"wilmanski","year":"2016","journal-title":"Proc SPIE"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2014.7058124"},{"key":"ref30","first-page":"1","article-title":"Combination of convolutional feature extraction and support vector machines for radar ATR","author":"wagner","year":"2014","journal-title":"Proc 17th Int Conf Inf Fusion (FUSION)"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"907","DOI":"10.3390\/rs9090907","article-title":"Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data","volume":"9","author":"huang","year":"2017","journal-title":"Remote Sens"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2698213"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2016.160061"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2014.0407"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1117\/12.321822"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2015.140757"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2506659"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2321565"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2421440"},{"key":"ref15","first-page":"3","article-title":"An overview of automatic target recognition","volume":"6","author":"dudgeon","year":"1993","journal-title":"Lincoln Lab J"},{"key":"ref16","first-page":"11","article-title":"Performance of a high-resolution polarimetric SAR automatic target recognition system","volume":"6","author":"novak","year":"1993","journal-title":"Lincoln Lab J"},{"key":"ref17","article-title":"Automatic target recognition in SAR imagery using a MLP neural network","author":"sandirasegaram","year":"2002"},{"key":"ref18","article-title":"Spot SAR ATR using wavelet features and neural network classifier","author":"sandirasegaram","year":"2005"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1117\/12.357652","article-title":"SVM classifier applied to the MSTAR public data set","volume":"3721","author":"lee bryant","year":"1999","journal-title":"Proc SPIE"},{"key":"ref28","first-page":"366","article-title":"PolSAR image classification based on deep convolutional neural network","volume":"7","author":"wang","year":"2016","journal-title":"Metall Min Ind"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162526"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/7.913694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2012.6178042"},{"key":"ref29","author":"smith","year":"2016","journal-title":"Deep Convolutional Neural Network Design Patterns"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2210385"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2007.357120"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2012.6237604"},{"key":"ref2","first-page":"187","article-title":"The automatic target-recognition system in SAIP","volume":"10","author":"novak","year":"1997","journal-title":"Lincoln Lab J"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2013.120340"},{"key":"ref1","year":"2014","journal-title":"The Air Force Moving and Stationary Target Recognition Database"},{"key":"ref46","first-page":"1","article-title":"Large-margin softmax loss for convolutional neural networks","author":"liu","year":"0"},{"key":"ref20","first-page":"94750f","article-title":"Deep convolutional neural networks for ATR from SAR imagery","volume":"9475","author":"morgan","year":"2015","journal-title":"Algorithms for Synthetic Aperture Radar Imagery IX"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/978-3-642-35289-8_3","article-title":"Efficient backprop","author":"lecun","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref48","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref47","author":"ioffe","year":"2015","journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1300.2013.20085"},{"key":"ref23","first-page":"1090","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref43","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/8543338\/08421244.pdf?arnumber=8421244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T13:32:17Z","timestamp":1643290337000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8421244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":48,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2018.2849967","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12]]}}}