乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T11:44:56Z","timestamp":1744976696450,"version":"3.37.3"},"reference-count":40,"publisher":"Zhejiang University Press","issue":"4","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front Inform Technol Electron Eng"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1631\/fitee.2000695","type":"journal-article","created":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T08:04:43Z","timestamp":1651219483000},"page":"571-586","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation","\u57fa\u4e8e\u53cc\u5c42\u591a\u76ee\u6807\u5206\u5272\u7684\u8d85\u9ad8\u901f\u649e\u51fb\u822a\u5929\u5668\u635f\u4f24\u7ea2\u5916\u68c0\u6d4b\u7b97\u6cd5"],"prefix":"10.1631","volume":"23","author":[{"given":"Xiao","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2852-6982","authenticated-orcid":false,"given":"Chun","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Sara","family":"Dadras","sequence":"additional","affiliation":[]},{"given":"Guangyu","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Xutong","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Gen","family":"Qiu","sequence":"additional","affiliation":[]}],"member":"635","published-online":{"date-parts":[[2022,4,29]]},"reference":[{"key":"1793_CR1","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.actaastro.2020.01.015","volume":"176","author":"VV Adushkin","year":"2020","unstructured":"Adushkin VV, Aksenov OY, Veniaminov SS, et al., 2020. The small orbital debris population and its impact on space activities and ecological safety. Acta Astronaut, 176:591\u2013597. https:\/\/doi.org\/10.10167\/j.actaastro.2020.01.015","journal-title":"Acta Astronaut"},{"key":"1793_CR2","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.actaastro.2019.09.001","volume":"168","author":"GS Aglietti","year":"2020","unstructured":"Aglietti GS, Taylor B, Fellowes S, et al., 2020. The active space debris removal mission removedebris. Part 2: in orbit operations. Acta Astronaut, 168:310\u2013322. https:\/\/doi.org\/10.1016\/j.actaastro.2019.09.001","journal-title":"Acta Astronaut"},{"key":"1793_CR3","doi-asserted-by":"publisher","unstructured":"Ahmed MN, Yamany SM, Farag AA, et al., 1999. Bias field estimation and adaptive segmentation of MRI data using a modified fuzzy C-means algorithm. Proc IEEE Computer Society Conf on Computer Vision and Pattern Recognition, p.250\u2013255. https:\/\/doi.org\/10.1109\/CVPR.1999.786947","DOI":"10.1109\/CVPR.1999.786947"},{"issue":"5","key":"1793_CR4","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1109\/TGRS.2007.892604","volume":"45","author":"S Bandyopadhyay","year":"2007","unstructured":"Bandyopadhyay S, Maulik U, Mukhopadhyay A, 2007. Multiobjective genetic clustering for pixel classification in remote sensing imagery. IEEE Trans Geosci Remote Sens, 45(5):1506\u20131511. https:\/\/doi.org\/10.1109\/TGRS.2007.892604","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"1793_CR5","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.procs.2015.02.039","volume":"46","author":"VG Biju","year":"2015","unstructured":"Biju VG, Mythili P, 2015. Fuzzy clustering algorithms for cDNA microarray image spots segmentation. Proc Comput Sci, 46:417\u2013424. https:\/\/doi.org\/10.1016\/j.procs.2015.02.039","journal-title":"Proc Comput Sci"},{"issue":"8","key":"1793_CR6","first-page":"1048","volume":"76","author":"RH Bossi","year":"2018","unstructured":"Bossi RH, Georgeson GE, 2018. Nondestructive testing of composites. Mater Eval, 76(8):1048.","journal-title":"Mater Eval"},{"key":"1793_CR7","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.neucom.2017.02.099","volume":"277","author":"YH Cheng","year":"2018","unstructured":"Cheng YH, Tian LL, Yin C, et al., 2018. Research on crack detection applications of improved PCNN algorithm in MOI nondestructive test method. Neurocomputing, 277:249\u2013259. https:\/\/doi.org\/10.1016\/j.neucom.2017.02.099","journal-title":"Neurocomputing"},{"issue":"2","key":"1793_CR8","doi-asserted-by":"publisher","first-page":"609","DOI":"10.3390\/s18020609","volume":"18","author":"F Ciampa","year":"2018","unstructured":"Ciampa F, Mahmoodi P, Pinto F, et al., 2018. Recent advances in active infrared thermography for nondestructive testing of aerospace components. Sensors, 18(2):609. https:\/\/doi.org\/10.3390\/s18020609","journal-title":"Sensors"},{"key":"1793_CR9","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.infrared.2013.12.017","volume":"63","author":"JF Florez-Ospina","year":"2014","unstructured":"Florez-Ospina JF, Benitez HD, 2014. From local to global analysis of defect detectability in infrared nondestructive testing. Infrared Phys Technol, 63:211\u2013221. https:\/\/doi.org\/10.1016\/j.infrared.2013.12.017","journal-title":"Infrared Phys Technol"},{"key":"1793_CR10","doi-asserted-by":"publisher","first-page":"107000","DOI":"10.1016\/j.cie.2020.107000","volume":"152","author":"YL Fu","year":"2021","unstructured":"Fu YL, Liu XN, Sarkar S, et al., 2021. Gaussian mixture model with feature selection: an embedded approach. Comput Ind Eng, 152:107000. https:\/\/doi.org\/10.1016\/j.cie.2020.107000","journal-title":"Comput Ind Eng"},{"issue":"5","key":"1793_CR11","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1016\/j.compstruct.2010.10.017","volume":"93","author":"C Garnier","year":"2011","unstructured":"Garnier C, Pastor ML, Eyma F, et al., 2011. The detection of aeronautical defects in situ composite structures using non destructive testing. Comp Struct, 93(5):1328\u20131336. https:\/\/doi.org\/10.1016\/j.compstruct.2010.10.017","journal-title":"Comp Struct"},{"issue":"3","key":"1793_CR12","doi-asserted-by":"publisher","first-page":"2985","DOI":"10.48084\/etasr.1999","volume":"8","author":"B Gharnali","year":"2018","unstructured":"Gharnali B, Alipour S, 2018. MRI image segmentation using conditional spatial FCM based on kernel-induced distance measure. Eng Technol Appl Sci Res, 8(3):2985\u20132990. https:\/\/doi.org\/10.48084\/etasr.1999","journal-title":"Eng Technol Appl Sci Res"},{"issue":"3","key":"1793_CR13","doi-asserted-by":"publisher","first-page":"285","DOI":"10.2514\/3.57817","volume":"18","author":"ME Gurtin","year":"1981","unstructured":"Gurtin ME, Francis EC, 1981. Simple rate-independent model for damage. J Spacecr Rock, 18(3):285\u2013286. https:\/\/doi.org\/10.2514\/3.57817","journal-title":"J Spacecr Rock"},{"key":"1793_CR14","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.isprsjprs.2019.02.009","volume":"150","author":"MD Hossain","year":"2019","unstructured":"Hossain MD, Chen DM, 2019. Segmentation for object-based image analysis (OBIA): a review of algorithms and challenges from remote sensing perspective. ISPRS J Photogr Remote Sens, 150:115\u2013134. https:\/\/doi.org\/10.1016\/j.isprsjprs.2019.02.009","journal-title":"ISPRS J Photogr Remote Sens"},{"issue":"7","key":"1793_CR15","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1631\/FITEE.1900116","volume":"21","author":"L Hou","year":"2020","unstructured":"Hou L, Luo XY, Wang ZY, et al., 2020. Representation learning via a semi-supervised stacked distance autoencoder for image classification. Front Inform Technol Electron Eng, 21(7):1005\u20131018. https:\/\/doi.org\/10.1631\/FITEE.1900116","journal-title":"Front Inform Technol Electron Eng"},{"key":"1793_CR16","doi-asserted-by":"publisher","first-page":"108323","DOI":"10.1016\/j.matdes.2019.108323","volume":"186","author":"XG Huang","year":"2020","unstructured":"Huang XG, Yin C, Ru HQ, et al., 2020. Hypervelocity impact damage behavior of B4C\/Al composite for MMOD shielding application. Mater Des, 186:108323. https:\/\/doi.org\/10.1016\/j.matdes.2019.108323","journal-title":"Mater Des"},{"issue":"4","key":"1793_CR17","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1109\/TEVC.2002.802873","volume":"6","author":"A Jaszkiewicz","year":"2002","unstructured":"Jaszkiewicz A, 2002. On the performance of multiple-objective genetic local search on the 0\/1 knapsack problem\u2014a comparative experiment. IEEE Trans Evol Comput, 6(4):402\u2013412. https:\/\/doi.org\/10.1109\/TEVC.2002.802873","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"1793_CR18","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TIP.2010.2040763","volume":"19","author":"S Krinidis","year":"2010","unstructured":"Krinidis S, Chatzis V, 2010. A robust fuzzy local information C-means clustering algorithm. IEEE Trans Image Process, 19(5):1328\u20131337. https:\/\/doi.org\/10.1109\/TIP.2010.2040763","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"1793_CR19","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1049\/et.2018.0104","volume":"13","author":"H Lamb","year":"2018","unstructured":"Lamb H, 2018. Space agencies turn focus on small space debris. Eng Technol, 13(1):48\u201349. https:\/\/doi.org\/10.1049\/et.2018.0104","journal-title":"Eng Technol"},{"issue":"5","key":"1793_CR20","doi-asserted-by":"publisher","first-page":"3027","DOI":"10.1109\/TFUZZ.2018.2796074","volume":"26","author":"T Lei","year":"2018","unstructured":"Lei T, Jia XH, Zhang YN, et al., 2018. Significantly fast and robust fuzzy C-means clustering algorithm based on morphological reconstruction and membership filtering. IEEE Trans Fuzzy Syst, 26(5):3027\u20133041. https:\/\/doi.org\/10.1109\/TFUZZ.2018.2796074","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1793_CR21","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.proeng.2017.04.486","volume":"188","author":"ML Liu","year":"2017","unstructured":"Liu ML, Lissenden CJ, Wang Q, et al., 2017. Characterization of damage in shielding structures of space vehicles under hypervelocity impact. Proc Eng, 188:286\u2013292. https:\/\/doi.org\/10.1016\/j.proeng.2017.04.486","journal-title":"Proc Eng"},{"key":"1793_CR22","first-page":"307","volume-title":"Theory and Practice of Infrared Technology for Nondestructive Testing","author":"XP Maldague","year":"2001","unstructured":"Maldague XP, 2001. Theory and Practice of Infrared Technology for Nondestructive Testing. John Wiley & Sons, New York, USA, p.307."},{"issue":"2","key":"1793_CR23","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/s10707-011-0136-5","volume":"16","author":"U Maulik","year":"2012","unstructured":"Maulik U, Sarkar A, 2012. Efficient parallel algorithm for pixel classification in remote sensing imagery. Geoinformatica, 16(2):391\u2013407. https:\/\/doi.org\/10.1007\/s10707-011-0136-5","journal-title":"Geoinformatica"},{"key":"1793_CR24","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1016\/j.compstruct.2015.08.119","volume":"134","author":"C Meola","year":"2015","unstructured":"Meola C, Boccardi S, Carlomagno GM, et al., 2015. Nondestructive evaluation of carbon fibre reinforced composites with infrared thermography and ultrasonics. Comp Struct, 134:845\u2013853. https:\/\/doi.org\/10.1016\/j.compstruct.2015.08.119","journal-title":"Comp Struct"},{"key":"1793_CR25","doi-asserted-by":"publisher","first-page":"61000","DOI":"10.1109\/ACCESS.2020.2979505","volume":"8","author":"A Murtaza","year":"2020","unstructured":"Murtaza A, Pirzada SJH, Xu TG, et al., 2020. Orbital debris threat for space sustainability and way forward. IEEE Access, 8:61000\u201361019. https:\/\/doi.org\/10.1109\/ACCESS.2020.2979505","journal-title":"IEEE Access"},{"issue":"9","key":"1793_CR26","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1049\/iet-ipr.2016.0891","volume":"11","author":"A Namburu","year":"2017","unstructured":"Namburu A, Samayamantula SK, Edara SR, 2017. Generalised rough intuitionistic fuzzy C-means for magnetic resonance brain image segmentation. IET Image Process, 11(9):777\u2013785. https:\/\/doi.org\/10.1049\/iet-ipr.2016.0891","journal-title":"IET Image Process"},{"issue":"4","key":"1793_CR27","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.patcog.2005.10.028","volume":"39","author":"H Permuter","year":"2006","unstructured":"Permuter H, Francos J, Jermyn I, 2006. A study of Gaussian mixture models of color and texture features for image classification and segmentation. Patt Recogn, 39(4):695\u2013706. https:\/\/doi.org\/10.1016\/j.patcog.2005.10.028","journal-title":"Patt Recogn"},{"key":"1793_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7488-4_196","volume-title":"Encyclopedia of Biometrics","author":"D Reynolds","year":"2015","unstructured":"Reynolds D, 2015. Gaussian mixture models. In: Li SZ, Jain A (Eds.), Encyclopedia of Biometrics (2nd Ed.). Springer, Boston. https:\/\/doi.org\/10.1007\/978-1-4899-7488-4_196","edition":"2nd Ed."},{"key":"1793_CR29","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/978-1-4419-0727-1_21","volume-title":"Predictive Modeling of Dynamic Processes: a tribute to Professor Klaus Thoma","author":"WP Schonberg","year":"2009","unstructured":"Schonberg WP, 2009. Assessing the resiliency of composite structural systems and materials used in Earth-orbiting spacecraft to hypervelocity projectile impact. In: Hiermaier S (Ed.), Predictive Modeling of Dynamic Processes: a tribute to Professor Klaus Thoma. Springer, Boston, p.397\u2013416. https:\/\/doi.org\/10.1007\/978-1-4419-0727-1_21"},{"key":"1793_CR30","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.swevo.2018.01.007","volume":"42","author":"S Tamilselvi","year":"2018","unstructured":"Tamilselvi S, Baskar S, Anandapadmanaban L, et al., 2018. Multi objective evolutionary algorithm for designing energy efficient distribution transformers. Swarm Evol Comput, 42:109\u2013124. https:\/\/doi.org\/10.1016\/j.swevo.2018.01.007","journal-title":"Swarm Evol Comput"},{"key":"1793_CR31","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/978-981-10-7386-1_30","volume-title":"Ambient Communications and Computer Systems","author":"P Vaibhavi","year":"2018","unstructured":"Vaibhavi P, Rupal K, 2018. Brain tumor segmentation using K-means-FCM hybrid technique. In: Perez GM, Tiwari S, Trivedi MC, et al. (Eds.), Ambient Communications and Computer Systems. Springer, Singapore, p.341\u2013352. https:\/\/doi.org\/10.1007\/978-981-10-7386-1_30"},{"key":"1793_CR32","doi-asserted-by":"publisher","unstructured":"Veidt M, Liew CK, 2013. 17-non-destructive evaluation (NDE) of aerospace composites: structural health monitoring of aerospace structures using guided wave ultrasonics. In: Karbhari VM (Ed.), Non-destructive Evaluation (NDE) of Polymer Matrix Composites: Techniques and Applications. Woodhead Pub, Philadelphia, USA, p.449\u2013479. https:\/\/doi.org\/10.1533\/9780857093554.3.449","DOI":"10.1533\/9780857093554.3.449"},{"key":"1793_CR33","doi-asserted-by":"publisher","unstructured":"Wu ZD, Xie WX, Yu JP, 2003. Fuzzy C-means clustering algorithm based on kernel method. Proc 5th Int Conf on Computational Intelligence and Multimedia Applications, p.49\u201354. https:\/\/doi.org\/10.1109\/ICCIMA.2003.1238099","DOI":"10.1109\/ICCIMA.2003.1238099"},{"issue":"8","key":"1793_CR34","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1109\/34.85677","volume":"13","author":"XL Xie","year":"1991","unstructured":"Xie XL, Beni G, 1991. A validity measure for fuzzy clustering. IEEE Trans Patt Anal Mach Intell, 13(8):841\u2013847. https:\/\/doi.org\/10.1109\/34.85677","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"key":"1793_CR35","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.asoc.2017.05.033","volume":"59","author":"HL Xing","year":"2017","unstructured":"Xing HL, Wang ZY, Li TR, et al., 2017. An improved MOEA\/D algorithm for multi-objective multicast routing with network coding. Appl Soft Comput, 59:88\u2013103. https:\/\/doi.org\/10.1016\/j.asoc.2017.05.033","journal-title":"Appl Soft Comput"},{"issue":"10","key":"1793_CR36","doi-asserted-by":"publisher","first-page":"1485","DOI":"10.1631\/FITEE.1900727","volume":"21","author":"L Xu","year":"2020","unstructured":"Xu L, Huang G, Chen QL, et al., 2020. An improved method for image denoising based on fractional-order integration. Front Inform Technol Electron Eng, 21(10):1485\u20131493. https:\/\/doi.org\/10.1631\/FITEE.1900727","journal-title":"Front Inform Technol Electron Eng"},{"key":"1793_CR37","doi-asserted-by":"publisher","first-page":"98530","DOI":"10.1109\/ACCESS.2019.2930114","volume":"7","author":"C Yin","year":"2019","unstructured":"Yin C, Xue T, Huang XG, et al., 2019. Research on damages evaluation method with multi-objective feature extraction optimization scheme for M\/OD impact risk assessment. IEEE Access, 7:98530\u201398545. https:\/\/doi.org\/10.1109\/ACCESS.2019.2930114","journal-title":"IEEE Access"},{"issue":"6","key":"1793_CR38","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"QF Zhang","year":"2007","unstructured":"Zhang QF, Li H, 2007. MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput, 11(6):712\u2013731. https:\/\/doi.org\/10.1109\/TEVC.2007.892759","journal-title":"IEEE Trans Evol Comput"},{"issue":"11","key":"1793_CR39","doi-asserted-by":"publisher","first-page":"3854","DOI":"10.1109\/TCYB.2016.2585764","volume":"47","author":"X Zhang","year":"2017","unstructured":"Zhang X, Zhou Y, Zhang QF, et al., 2017. Problem specific MOEA\/D for barrier coverage with wireless sensors. IEEE Trans Cybern, 47(11):3854\u20133865. https:\/\/doi.org\/10.1109\/TCYB.2016.2585745","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"1793_CR40","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TFUZZ.2018.2883033","volume":"27","author":"YX Zhang","year":"2019","unstructured":"Zhang YX, Bai XZ, Fan RR, et al., 2019. Deviation-sparse fuzzy C-means with neighbor information constraint. IEEE Trans Fuzzy Syst, 27(1):185\u2013199. https:\/\/doi.org\/10.1109\/TFUZZ.2018.2883033","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["Frontiers of Information Technology & Electronic Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.2000695.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1631\/FITEE.2000695\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.2000695.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T08:06:53Z","timestamp":1651219613000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1631\/FITEE.2000695"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["1793"],"URL":"https:\/\/doi.org\/10.1631\/fitee.2000695","relation":{},"ISSN":["2095-9184","2095-9230"],"issn-type":[{"type":"print","value":"2095-9184"},{"type":"electronic","value":"2095-9230"}],"subject":[],"published":{"date-parts":[[2022,4]]},"assertion":[{"value":"12 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}