{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T14:51:53Z","timestamp":1770907913003,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,16]]},"DOI":"10.1109\/igarss52108.2023.10282235","type":"proceedings-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T17:42:53Z","timestamp":1697823773000},"page":"1142-1145","source":"Crossref","is-referenced-by-count":1,"title":["Cross-AD: Multispectral and Hyperspectral High-Speed Artificial Imitation Object Anomaly Detection"],"prefix":"10.1109","author":[{"given":"Xingshi","family":"Luo","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China,100081"}]},{"given":"Wenzheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China,100081"}]},{"given":"Chenwei","family":"Deng","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China,100081"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.3390\/rs11111318","article-title":"Anomaly detection for hyperspectral imagery based on the regularized subspace method and collaborative representation","volume":"11","author":"tan","year":"2019","journal-title":"Remote Sensing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs14092266"},{"key":"ref15","first-page":"1","article-title":"Auto-ad: Autonomous hyperspectral anomaly detection network based on fully convolutional autoencoder","volume":"60","author":"wang","year":"2021","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2940278"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2493201"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2343955"},{"key":"ref2","article-title":"Rethinking camouflaged object detection: Models and datasets","author":"bi","year":"2021","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1117\/12.2566183"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1109\/JPROC.2021.3076455","article-title":"Parallel and distributed computing for anomaly detection from hyperspectral remote sensing imagery","volume":"109","author":"du","year":"2021","journal-title":"Proceedings of the IEEE"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153755"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2360672"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/1.1614265"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/29.60107"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3105440"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1117\/12.2573245"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21236\/ADA608586"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3216564"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3207777"}],"event":{"name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","location":"Pasadena, CA, USA","start":{"date-parts":[[2023,7,16]]},"end":{"date-parts":[[2023,7,21]]}},"container-title":["IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10281394\/10281399\/10282235.pdf?arnumber=10282235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:09:12Z","timestamp":1699902552000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10282235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/igarss52108.2023.10282235","relation":{},"subject":[],"published":{"date-parts":[[2023,7,16]]}}}