{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:28:18Z","timestamp":1770539298024,"version":"3.49.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["61971317"],"award-info":[{"award-number":["61971317"]}],"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":["61822113"],"award-info":[{"award-number":["61822113"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Major Project of Hubei Province","award":["2019AEA170"],"award-info":[{"award-number":["2019AEA170"]}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2018CFA050"],"award-info":[{"award-number":["2018CFA050"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2020CFB594"],"award-info":[{"award-number":["2020CFB594"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3039328","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T21:29:20Z","timestamp":1606339760000},"page":"1382-1394","source":"Crossref","is-referenced-by-count":87,"title":["Multi-Temporal Scene Classification and Scene Change Detection With Correlation Based Fusion"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9129-2453","authenticated-orcid":false,"given":"Lixiang","family":"Ru","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0059-8458","authenticated-orcid":false,"given":"Bo","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6461-8377","authenticated-orcid":false,"given":"Chen","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545885"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1084"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1007\/978-1-4612-4380-9_14","article-title":"Relations between two sets of variates","author":"hotelling","year":"1992","journal-title":"Breakthroughs in Statistics"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00161"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447071"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178840"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.01.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2738671"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.02.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.888195"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898211"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2963848"},{"key":"ref29","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"andrew","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2983560"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref20","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.07.001"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2935608"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00047"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2920374"},{"key":"ref50","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref51","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975718"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2886643"},{"key":"ref40","article-title":"Canonical correlation analysis for misaligned satellite image change detection","author":"sahbi","year":"2018","journal-title":"arXiv 1812 09280"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2228626"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2707528"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2015.09.020"},{"key":"ref15","article-title":"Learning to measure change: Fully convolutional siamese metric networks for scene change detection","author":"guo","year":"2018","journal-title":"arXiv 1810 09111"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/Multi-Temp.2019.8866943"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2869549"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1290082.1290111"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2642125"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.05.062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/36.843012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2357392"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2716984"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2488681"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143967"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2893115"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref45","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref47","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref42","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref41","first-page":"1","article-title":"Reducing overfitting in deep networks by decorrelating representations","author":"cogswell","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref44","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc of USENIX Symp on Operating Systems Design and Implementation (OSDI)"},{"key":"ref43","article-title":"The matrix cookbook","volume":"7","author":"petersen","year":"2008"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09271913.pdf?arnumber=9271913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:09Z","timestamp":1652194209000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9271913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3039328","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}