{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:07:20Z","timestamp":1730264840408,"version":"3.28.0"},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9553257","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T17:49:09Z","timestamp":1634147349000},"page":"4131-4134","source":"Crossref","is-referenced-by-count":3,"title":["Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image"],"prefix":"10.1109","author":[{"given":"Guanyiman","family":"Fu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengchao","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuyin","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianfeng","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuntao","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2952062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.377"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3026622"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898675"},{"key":"ref8","first-page":"3142","article-title":"Be-yond a gaussian denoiser: Residual learning of deep cnn for image denoising","volume":"26","author":"zhang","year":"2017","journal-title":"IEEE TIP"},{"key":"ref7","first-page":"2080","article-title":"Im-age denoising by sparse 3-d transform-domain collaborative filtering","volume":"16","author":"dabov","year":"2007","journal-title":"IEEE TIP"},{"key":"ref2","article-title":"Novel methods for multilinear data completion and denoising based on tensor-svd","author":"zhang","year":"0","journal-title":"Proc IEEE CVPR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2187063"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2021,7,11]]},"location":"Brussels, Belgium","end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09553257.pdf?arnumber=9553257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:50Z","timestamp":1652183210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9553257\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9553257","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}