{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T12:55:47Z","timestamp":1755694547282,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9190850","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T16:45:18Z","timestamp":1601484318000},"page":"1881-1885","source":"Crossref","is-referenced-by-count":11,"title":["Semi-Supervised Multi-Spectral Land Cover Classification With Multi-Attention and Adaptive Kernel"],"prefix":"10.1109","author":[{"given":"Kexin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2234","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451836"},{"key":"ref12","first-page":"2818","author":"szegedy","year":"2016","journal-title":"Rethinking the inception architecture for computer vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref14","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 151 1 06432"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2918242"},{"key":"ref16","article-title":"See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification","author":"hu","year":"2019","journal-title":"arXiv Computer Vision and Pattern Recognition"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111307"},{"key":"ref18","first-page":"1298","volume":"1","author":"wang","year":"2016","journal-title":"Relation Classification via Multi-Level Attention CNNs"},{"key":"ref19","first-page":"7132","article-title":"Squeeze-andexcitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.12.015010"},{"key":"ref3","article-title":"Light-weight multispectral uav sensors and their capabilities for predicting grain yield and detecting plant diseases","volume":"41","author":"nebiker","year":"2016","journal-title":"International Archives of the Photogrammetry Remote Sensing & Spatial Information Sciences"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2798799"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2748160"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2752750"},{"journal-title":"The multimedia satellite task at mediaeval 2018 Emergency response for flooding events","year":"2018","author":"benjamin","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.10.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2734697"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2020,10,25]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09190850.pdf?arnumber=9190850","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:08:19Z","timestamp":1656360499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9190850\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icip40778.2020.9190850","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}