{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T17:20:30Z","timestamp":1769275230602,"version":"3.49.0"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"13-14","license":[{"start":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T00:00:00Z","timestamp":1547596800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s11042-018-7138-3","type":"journal-article","created":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T22:02:27Z","timestamp":1547676147000},"page":"9177-9192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Ship recognition method combined with image segmentation and deep learning feature extraction in video surveillance"],"prefix":"10.1007","volume":"79","author":[{"given":"Xiufeng","family":"Cao","sequence":"first","affiliation":[]},{"given":"Shu","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Liangchen","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,16]]},"reference":[{"key":"7138_CR1","doi-asserted-by":"publisher","first-page":"148","DOI":"10.4028\/www.scientific.net\/AMM.536-537.148","volume":"536-537","author":"T An","year":"2014","unstructured":"An T, Yang Z, Li YQ (2014) Research on the detection and tracking method of ship intrusion and remaining[J]. Appl Mech Mater 536-537:148\u2013152","journal-title":"Appl Mech Mater"},{"issue":"1","key":"7138_CR2","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.ndteint.2008.06.005","volume":"42","author":"RS Anand","year":"2009","unstructured":"Anand RS, Kumar P (2009) Flaw detection in radiographic weldment images using morphological watershed segmentation technique[J]. NDT E Int 42(1):2\u20138","journal-title":"NDT E Int"},{"issue":"1","key":"7138_CR3","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s10489-013-0509-6","volume":"41","author":"L Caponetti","year":"2014","unstructured":"Caponetti L, Castellano G, Basile MT et al (2014) Fuzzy mathematical morphology for biological image segmentation[J]. Appl Intell 41(1):117\u2013127","journal-title":"Appl Intell"},{"key":"7138_CR4","unstructured":"Deng G, Liu Z (2016) A wavelet image denoising based on the new threshold function[C]\/\/ International Conference on Computational Intelligence and Security. IEEE 158\u2013161"},{"key":"7138_CR5","unstructured":"Ismael SH, Mustafa FM, Ok\u00fcm\u00fcs IT (2016) A New approach of image denoising based on discrete wavelet transform[C]\/\/ Computer Applications & Research. IEEE 36\u201340"},{"issue":"2","key":"7138_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-015-3154-8","volume":"76","author":"P Jain","year":"2017","unstructured":"Jain P, Tyagi V (2017) An adaptive edge-preserving image denoising technique using patch-based weighted-SVD filtering in wavelet domain[J]. Multimed Tools Appl 76(2):1\u201321","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"7138_CR7","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1016\/0031-3203(90)90101-P","volume":"23","author":"HJ Lee","year":"1990","unstructured":"Lee HJ, Huang LF, Chen Z (1990) Multi-frame ship detection and tracking in an infrared image sequence[J]. Pattern Recogn 23(7):785\u2013798","journal-title":"Pattern Recogn"},{"key":"7138_CR8","unstructured":"Li X, Song A (2010) A new edge detection method using Gaussian-Zemike moment operator[C]\/\/ International Asia Conference on Informatics in Control, Automation and Robotics. IEEE 276\u2013279"},{"key":"7138_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.2112\/SI73-006.1","volume":"73","author":"C Mi","year":"2015","unstructured":"Mi C, Shen Y, Mi W et al (2015) Ship identification algorithm based on 3D point cloud for automated ship loaders[J]. J Coast Res 73:28\u201334","journal-title":"J Coast Res"},{"key":"7138_CR10","unstructured":"Nandi A (2016) Detection of human brain tumour using MRI image segmentation and morphological operators[C]\/\/ IEEE International Conference on Computer Graphics, Vision and Information Security. IEEE 55\u201360"},{"key":"7138_CR11","unstructured":"Nugroho HA, Yusufiyah HKN, Adji TB et al (2016) Zemike moment feature extraction for classifying lesion\u2019s shape of breast ultrasound images[C]\/\/ International Conference on Information Technology and Electrical Engineering. IEEE 458\u2013463"},{"key":"7138_CR12","unstructured":"Rahman HAA, Wah YB, He H et al (2015) Comparisons of ADABOOST, KNN, SVM and logistic regression in classification of imbalanced dataset[C]\/\/ International Conference on Soft Computing in Data Science. Springer Singapore 54\u201364"},{"key":"7138_CR13","first-page":"09","volume":"9844","author":"K Rainey","year":"2016","unstructured":"Rainey K, Reeder JD, Corelli AG (2016) Convolution neural networks for ship type recognition[C]. SPIE Defense + Security 9844:09","journal-title":"SPIE Defense + Security"},{"key":"7138_CR14","unstructured":"Saluja R, Boyat A (2016) Wavelet based image denoising using weighted highpass filtering coefficients and adaptive wiener filter[C]\/\/ International Conference on Computer, Communication and Control. IEEE 1\u20136"},{"key":"7138_CR15","unstructured":"Shi T, Yang L, Liu Z (2013) A moving ship detection based on edge information of single image and background subtraction[C]\/\/ MIPPR 2013: Pattern Recognition and Computer Vision. International Society for Optics and Photonics 891900"},{"key":"7138_CR16","unstructured":"Song Q, Ma L, Cao J et al (2016) Image denoising based on mean filter and wavelet transform[C]\/\/ International Conference on Advanced Information Technology and Sensor Application. IEEE 39\u201342"},{"key":"7138_CR17","unstructured":"Xia Y, Wan S, Yue L (2011) A Novel algorithm for ship detection based on dynamic fusion model of multi-feature and support vector machine[C]\/\/ International Conference on Image & Graphics. IEEE Computer Society 521\u2013526"},{"key":"7138_CR18","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-1-4471-4844-9_67","volume":"220","author":"L Xie","year":"2013","unstructured":"Xie L, Chen J, Yan Z et al (2013) A new method of Inland River overloaded ship identification using digital image processing[J]. Lect Notes Electr Eng 220:499\u2013506","journal-title":"Lect Notes Electr Eng"},{"key":"7138_CR19","unstructured":"Yan F, Mei W, Zhang C (2009) SAR image target recognition based on Hu invariant moments and SVM[C]\/\/ International Conference on Information Assurance and Security. IEEE 585\u2013588"},{"issue":"4","key":"7138_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.JRS.11.042611","volume":"11","author":"Y Yao","year":"2017","unstructured":"Yao Y, Jiang Z, Zhao D (2017) Ship detection in optical remote sensing images based on deep convolutional neural networks[J]. J Appl Remote Sens 11(4):1\u20137","journal-title":"J Appl Remote Sens"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-7138-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-7138-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-7138-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T01:37:52Z","timestamp":1586223472000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-7138-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,16]]},"references-count":20,"journal-issue":{"issue":"13-14","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["7138"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-7138-3","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,16]]},"assertion":[{"value":"8 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 January 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}