{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:09:45Z","timestamp":1760609385932,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":["62072218,61862030"],"award-info":[{"award-number":["62072218,61862030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533338","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-7","source":"Crossref","is-referenced-by-count":7,"title":["Infrared and Visible Image Fusion Based on Multiscale Network with Dual-channel Information Cross Fusion Block"],"prefix":"10.1109","author":[{"given":"Yong","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangkai","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuying","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiguo","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0219691318500182"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2887342"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.09.004"},{"key":"ref13","first-page":"1","article-title":"GANMcC: A generative adversarial network with multi-classification constraints for infrared and visible image fusion","volume":"70","author":"ma","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref14","article-title":"UNet++: A Nested U-Net Architecture for Medical Image Segmentation","author":"zhou","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref16","article-title":"TNO Image Fusion Dataset","author":"toet","year":"2014","journal-title":"Figshare data"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.02.001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3012548"},{"key":"ref19","first-page":"1","article-title":"Assessment of image fusion procedures using entropy, image quality, and multispectral classification","volume":"2","author":"aardt","year":"2008","journal-title":"J Appl Remote Sens"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.02.004"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2021.3126366","article-title":"Infrared and visible image fusion using visual saliency sparse representation and detail injection model","volume":"70","author":"yang","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.10.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(89)90003-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.09.066"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2009.05.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3005230"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.106977"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3054584"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2006.09.001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/26.477498"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/8\/4\/002"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533338.pdf?arnumber=9533338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T19:47:24Z","timestamp":1673293644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533338","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}