{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:10:46Z","timestamp":1740100246284,"version":"3.37.3"},"reference-count":6,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871150,61771170"],"award-info":[{"award-number":["61871150,61771170"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9555173","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"2242-2245","source":"Crossref","is-referenced-by-count":0,"title":["Water Retrieval Embedded Deep Network for Hyperspectral Image Refined Classification"],"prefix":"10.1109","author":[{"given":"Xuejian","family":"Liang","sequence":"first","affiliation":[]},{"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Junping","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xinyuan","family":"Miao","sequence":"additional","affiliation":[]},{"given":"Xinyu","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951160"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2960528"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2850152"},{"key":"ref5","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2886022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451145"}],"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\/09555173.pdf?arnumber=9555173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:55Z","timestamp":1652197615000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9555173\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":6,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9555173","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}