{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:20:33Z","timestamp":1775229633788,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3140404","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:30:42Z","timestamp":1641414642000},"page":"1-19","source":"Crossref","is-referenced-by-count":41,"title":["Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7815-9001","authenticated-orcid":false,"given":"Luca","family":"Bergamasco","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9440-0720","authenticated-orcid":false,"given":"Sudipan","family":"Saha","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3104-7656","authenticated-orcid":false,"given":"Francesca","family":"Bovolo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6036-459X","authenticated-orcid":false,"given":"Lorenzo","family":"Bruzzone","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2014.12.006"},{"issue":"5","key":"ref2","first-page":"99","article-title":"Application of remote sensing and GIS inland use\/land cover mapping and change detection in a part of south western Nigeria","volume":"1","author":"Mengistu","year":"2007","journal-title":"Afr. J. Environ. Sci. Technol."},{"issue":"2","key":"ref3","first-page":"143","article-title":"A change detection experiment using vegetation indices","volume":"64","author":"Lyon","year":"1998","journal-title":"Photogramm. Eng. remote Sens."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2009.5417370"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-1127(00)00594-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/Multi-Temp.2019.8866958"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.2325149"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2886643"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2636227"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2738149"},{"key":"ref11","article-title":"Convolutional neural network features based change detection in satellite images","volume":"10011","author":"El Amin","year":"2016","journal-title":"Proc. SPIE"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2863224"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.02.013"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2849692"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2707528"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2868704"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900173"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2948659"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2896948"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729290"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3001584"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2990284"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8519195"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2739800"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/12.2031104"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2873492"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2601930"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2008.2007429"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MULTITEMP.2007.4293035"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.857987"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2026188"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0303-2434(03)00010-2"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2763182"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2102333"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2712119"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2016.1171928"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2478256"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.04.014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2936771"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1117\/12.2533812"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2982631"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.895835"},{"key":"ref44","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"arXiv:1502.03167"},{"issue":"1","key":"ref45","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"Proc. ICML","volume":"30","author":"Maas"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"issue":"1","key":"ref47","first-page":"1","article-title":"Study and comparison of various image edge detection techniques","volume":"3","author":"Maini","year":"2009","journal-title":"Int. J. Image Process."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111345"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1080\/014311600210614"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/36.843009"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2002.999678"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09669957.pdf?arnumber=9669957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:17:04Z","timestamp":1705184224000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669957\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3140404","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}