{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T16:37:49Z","timestamp":1725727069331},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T00:00:00Z","timestamp":1698710400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T00:00:00Z","timestamp":1698710400000},"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":[[2023,10,31]]},"DOI":"10.1109\/apsipaasc58517.2023.10317222","type":"proceedings-article","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T14:07:46Z","timestamp":1700489266000},"page":"788-794","source":"Crossref","is-referenced-by-count":0,"title":["Data Driven Multiband Image Fusion That Preserves Wavelength-Specific Image Features"],"prefix":"10.1109","volume":"2","author":[{"given":"Hsuan","family":"Lin","sequence":"first","affiliation":[{"name":"University of Dayton,United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keigo","family":"Hirakawa","sequence":"additional","affiliation":[{"name":"University of Dayton,United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975984"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.05.006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.10.007"},{"journal-title":"Didfuse Deep image decomposition for infrared and visible image fusion","year":"2020","author":"zhao","key":"ref14"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2017.02.005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2478655"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2017.05.007"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"23522","DOI":"10.1117\/1.2945910","article-title":"Assessment of image fusion procedures using entropy, image quality, and multispectral classification","volume":"2","author":"roberts","year":"2008","journal-title":"Journal of Applied Remote Sensing"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/e23030376"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2977573"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"2614","DOI":"10.1109\/TIP.2018.2887342","article-title":"Densefuse: A fusion approach to infrared and visible images","volume":"28","author":"li","year":"2018","journal-title":"IEEE Transactions on Image Processing"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.09.004"},{"key":"ref24","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3208125"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3172212"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3086020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3075747"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506740"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2014.09.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00060"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2016.01.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2020.106354"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2019.163900"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2019.05.017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/8\/4\/002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.02.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.08.066"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/97.995823"}],"event":{"name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2023,10,31]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2023,11,3]]}},"container-title":["2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10317071\/10317095\/10317222.pdf?arnumber=10317222","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T19:25:05Z","timestamp":1701372305000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10317222\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,31]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/apsipaasc58517.2023.10317222","relation":{},"subject":[],"published":{"date-parts":[[2023,10,31]]}}}