{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T04:27:33Z","timestamp":1743395253609},"reference-count":15,"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\/igarss47720.2021.9554396","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"8237-8240","source":"Crossref","is-referenced-by-count":5,"title":["Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks"],"prefix":"10.1109","author":[{"given":"Pu","family":"Jin","sequence":"first","affiliation":[]},{"given":"Lichao","family":"Mou","sequence":"additional","affiliation":[]},{"given":"Gui-Song","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Xiao Xiang","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"4800","article-title":"Anomaly detection with multiple-hypotheses predictions","author":"nguyen","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105187"},{"key":"ref12","first-page":"622","article-title":"Ganomaly: Semi-supervised anomaly detection via adversarial training","author":"akcay","year":"2018","journal-title":"Asian Conference on Computer Vision"},{"key":"ref13","first-page":"1","article-title":"Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection","author":"ak\u00e7ay","year":"2019","journal-title":"2019 International Joint Conference on Neural Networks (IJCNN)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00179"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01438"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2927393"},{"key":"ref3","first-page":"252","article-title":"Deep neural networks for wild fire detection with unmanned aerial vehicle","author":"lee","year":"2017","journal-title":"2017 IEEE International Conference on Consumer Electronics (ICCE)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2296351"},{"journal-title":"Cross-task transfer for geotagged audiovisual aerial scene recognition","year":"2020","author":"hu","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.05.009"},{"key":"ref7","article-title":"R3-net: A deep network for multi-oriented vehicle detection in aerial images and videos","author":"li","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.03.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2603528"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.3005751"}],"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\/09554396.pdf?arnumber=9554396","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:56Z","timestamp":1652197616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9554396\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9554396","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}