{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T16:33:31Z","timestamp":1793378011411,"version":"4.5.0"},"reference-count":28,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771401"],"award-info":[{"award-number":["41771401"]}],"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":["42071438"],"award-info":[{"award-number":["42071438"]}],"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":["42271456"],"award-info":[{"award-number":["42271456"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province, China","doi-asserted-by":"publisher","award":["BK20221403"],"award-info":[{"award-number":["BK20221403"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3224030","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T16:06:14Z","timestamp":1669046774000},"page":"1-9","source":"Crossref","is-referenced-by-count":55,"title":["PDNet: A Lightweight Deep Convolutional Neural Network for InSAR Phase Denoising"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5057-2072","authenticated-orcid":false,"given":"Hanwen","family":"Yu","sequence":"first","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianxiang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7665-413X","authenticated-orcid":false,"given":"Lifan","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3366-3137","authenticated-orcid":false,"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020427"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs14051174"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3099997"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3110518"},{"key":"ref15","first-page":"g21a","article-title":"Deep learning InSAR: Atmospheric noise removal and small deformation signal extraction from InSAR time series using a convolutional autoencoder","author":"rouet-leduc","year":"2019","journal-title":"Proc Amer Geophys Union Fall Meeting"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3145342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2965918"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2326462"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1029\/1998GL900033"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/36.673674"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2955120"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2865601"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2076376"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/36.718849"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3065811"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2800087"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2873644"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs12142340"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.2965784"},{"key":"ref20","first-page":"195","article-title":"The influence of the sigmoid function parameters on the speed of backpropagation learning","author":"han","year":"2015","journal-title":"From Natural to Artificial Neural Computation"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1109\/36.312890","article-title":"Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery","volume":"32","author":"lee","year":"1994","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00522"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1364\/AO.35.003799"},{"key":"ref23","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3081039"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2926096"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09957081.pdf?arnumber=9957081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T10:39:06Z","timestamp":1670236746000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9957081\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3224030","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}