{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:46:37Z","timestamp":1761597997065,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,16]],"date-time":"2018-06-16T00:00:00Z","timestamp":1529107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,16]]},"DOI":"10.1145\/3239576.3239582","type":"proceedings-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T13:19:23Z","timestamp":1539263963000},"page":"106-110","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Kernel Sparse Representation for Anomaly Detection in Hyperspectral Imagery"],"prefix":"10.1145","author":[{"given":"Jie","family":"Xiong","sequence":"first","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology, Changsha China"}]},{"given":"Qiang","family":"Ling","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology, Changsha China"}]},{"given":"Zaiping","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology, Changsha China"}]},{"given":"Jing","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology, Changsha China"}]}],"member":"320","published-online":{"date-parts":[[2018,6,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/29.60107"},{"key":"e_1_3_2_1_2_1","unstructured":"Chang C 1. Hyperspectral Imaging:Techniques for SPeectral Detection and Classification{M}. New York: KluwerAcademic 2003   Chang C 1. Hyperspectral Imaging:Techniques for SPeectral Detection and Classification{M}. New York: KluwerAcademic 2003"},{"issue":"6","key":"e_1_3_2_1_3_1","first-page":"1314","article-title":"Anomaly detection and classification for hyperspectral Imagery {J}","volume":"40","author":"Chang C","year":"2002","unstructured":"Chang C 1, Chiangn S S . Anomaly detection and classification for hyperspectral Imagery {J} . IEEE Trans on GRS , 2002 , 40 ( 6 ): 1314 -- 1325 . Chang C 1, Chiangn S S. Anomaly detection and classification for hyperspectral Imagery {J}. IEEE Trans on GRS, 2002, 40(6): 1314--1325.","journal-title":"IEEE Trans on GRS"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.02.012"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.841487"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2011.2113170"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2099640"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2343955"},{"key":"e_1_3_2_1_9_1","volume-title":"Ajoint kernel collaborative representation based approach for hypers- pectral image anomaly target detection {J}. Journal of optoelectronics\u2022laser","author":"Lili Zhang","year":"2015","unstructured":"Zhang Lili , Zhao Chunhui , ChengBaozhi. Ajoint kernel collaborative representation based approach for hypers- pectral image anomaly target detection {J}. Journal of optoelectronics\u2022laser , 2015 (11): 2154--2161. Zhang Lili, Zhao Chunhui, ChengBaozhi. Ajoint kernel collaborative representation based approach for hypers- pectral image anomaly target detection {J}. Journal of optoelectronics\u2022laser, 2015(11): 2154--2161."},{"key":"e_1_3_2_1_10_1","volume-title":"Hyperspectral imagery target detection algorithm based on StOMP sparse representation{J}. Journal of harbin engineering university","author":"Chunhui ZHAO","year":"2015","unstructured":"ZHAO Chunhui , JING Xiaohao , LI Wei . Hyperspectral imagery target detection algorithm based on StOMP sparse representation{J}. Journal of harbin engineering university , 2015 , 36(7): 992--996. ZHAO Chunhui, JING Xiaohao, LI Wei. Hyperspectral imagery target detection algorithm based on StOMP sparse representation{J}. Journal of harbin engineering university, 2015, 36(7): 992--996."},{"issue":"9","key":"e_1_3_2_1_11_1","first-page":"1","article-title":"Hyperspectral imaging target detection algorithm based on spatial 4neighborhood for sparse representation {J}","volume":"34","author":"Chunhui ZHAO","year":"2013","unstructured":"ZHAO Chunhui , LI Xiaohui , ZHU Haifeng . Hyperspectral imaging target detection algorithm based on spatial 4neighborhood for sparse representation {J} . Journal of Harbin Engineering University , 2013 , 34 ( 9 ): 1 -- 8 . ZHAO Chunhui, LI Xiaohui, ZHU Haifeng. Hyperspectral imaging target detection algorithm based on spatial 4neighborhood for sparse representation {J}. Journal of Harbin Engineering University, 2013, 34(9):1--8.","journal-title":"Journal of Harbin Engineering University"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2462593"},{"key":"e_1_3_2_1_13_1","volume-title":"Non-negative Sparse Representation for Anomaly Detection in Hyperspectral Imagery{C}","author":"Wei","year":"2016","unstructured":"Wei D, Huang S, Zhao Y, Non-negative Sparse Representation for Anomaly Detection in Hyperspectral Imagery{C} , 2016 , 12 vol. 45 , no. S2 Wei D, Huang S, Zhao Y, et al. Non-negative Sparse Representation for Anomaly Detection in Hyperspectral Imagery{C}, 2016, 12 vol. 45, no. S2"}],"event":{"name":"ICAIP '18: 2018 the 2nd International Conference on Advances in Image Processing","sponsor":["University of Electronic Science and Technology of China University of Electronic Science and Technology of China","Southwest Jiaotong University"],"location":"Chengdu China","acronym":"ICAIP '18"},"container-title":["Proceedings of the 2nd International Conference on Advances in Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3239576.3239582","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3239576.3239582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:20Z","timestamp":1750208900000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3239576.3239582"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,16]]},"references-count":13,"alternative-id":["10.1145\/3239576.3239582","10.1145\/3239576"],"URL":"https:\/\/doi.org\/10.1145\/3239576.3239582","relation":{},"subject":[],"published":{"date-parts":[[2018,6,16]]},"assertion":[{"value":"2018-06-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}