{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T13:56:34Z","timestamp":1774014994655,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100015401","name":"Key Research and Development Project in Shaanxi Province","doi-asserted-by":"publisher","award":["2023-ZDLNY-65"],"award-info":[{"award-number":["2023-ZDLNY-65"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019034","name":"Central Guidance on Local Science and Technology Development Fund","doi-asserted-by":"publisher","award":["2022ZY1-CGZY-01HZ01"],"award-info":[{"award-number":["2022ZY1-CGZY-01HZ01"]}],"id":[{"id":"10.13039\/501100019034","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3434430","type":"journal-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T19:33:24Z","timestamp":1722281604000},"page":"1-11","source":"Crossref","is-referenced-by-count":4,"title":["Physical Strip Attack for Object Detection in Optical Remote Sensing"],"prefix":"10.1109","volume":"62","author":[{"given":"Changfeng","family":"Sun","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingwei","family":"Sun","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2772-2700","authenticated-orcid":false,"given":"Xuchong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yitong","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qicheng","family":"Bai","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2153-2906","authenticated-orcid":false,"given":"Hongbin","family":"Sun","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78609-0_40"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1007\/978-3-030-10925-7_4","article-title":"ShapeShifter: Robust physical adversarial attack on faster R-CNN object detector","volume-title":"Machine Learning and Knowledge Discovery in Databases","volume":"11051","author":"Chen","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPS-ISA50397.2020.00042"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3036801"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02359"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01487"},{"key":"ref7","article-title":"SlowTrack: Increasing the latency of camera-based perception in autonomous driving using adversarial examples","author":"Ma","year":"2023","journal-title":"arXiv:2312.09520"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01183"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01295"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20141"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs14215298"},{"key":"ref12","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"Geirhos","year":"2018","journal-title":"arXiv:1811.12231"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3362475"},{"key":"ref14","volume-title":"Ultralytics\/YOLOv5: V7.0\u2014YOLOv5 SOTA Realtime Instance Segmentation","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"ref18","article-title":"Align deep features for oriented object detection","volume":"60","author":"Han","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354259"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00846"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_39"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3273287"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3315053"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00385"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.03.050"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3264839"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/233"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/165"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref32","article-title":"Feature squeezing: Detecting adversarial examples in deep neural networks","author":"Xu","year":"2017","journal-title":"arXiv:1704.01155"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1906.07155"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2015.11.002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3228497"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10613929.pdf?arnumber=10613929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T06:18:58Z","timestamp":1726813138000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10613929\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3434430","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}