{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T07:23:45Z","timestamp":1751095425094,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030873578"},{"type":"electronic","value":"9783030873585"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87358-5_18","type":"book-chapter","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T23:54:11Z","timestamp":1632959651000},"page":"226-237","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Small Sample Identification for Specific Emitter Based on Adversarial Embedded Networks"],"prefix":"10.1007","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Congzhang","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaizong","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingran","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"1644","DOI":"10.1109\/ACCESS.2019.2962626","volume":"8","author":"K Sa","year":"2019","unstructured":"Sa, K., Lang, D., Wang, C., Bai, Y.: Specific emitter identification techniques for the internet of things. IEEE Access 8, 1644\u20131652 (2019)","journal-title":"IEEE Access"},{"key":"18_CR2","first-page":"113","volume":"1","author":"KI Talbot","year":"2003","unstructured":"Talbot, K.I., Duley, P.R., Hyatt, M.H.: Specific emitter identification and verification. Technol. Rev. 1, 113\u2013133 (2003)","journal-title":"Technol. Rev."},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"3335","DOI":"10.1109\/TIFS.2020.2988558","volume":"15","author":"G Gok","year":"2020","unstructured":"Gok, G., Alp, Y.K., Arikan, O.: A new method for specific emitter identification with results on real radar measurements. IEEE Trans. Inf. Forensics Secur. 15, 3335\u20133346 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Matuszewski, J.: Specific emitter identification. In: 2008 International Radar Symposium, pp. 1\u20134. IEEE (2008)","DOI":"10.1109\/IRS.2008.4585772"},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"2898","DOI":"10.1109\/TIFS.2020.2978620","volume":"15","author":"J Gong","year":"2020","unstructured":"Gong, J., Xu, X., Lei, Y.: Unsupervised specific emitter identification method using radio-frequency fingerprint embedded InfoGAN. IEEE Trans. Inf. Forensics Secur. 15, 2898\u20132913 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"54425","DOI":"10.1109\/ACCESS.2019.2913759","volume":"7","author":"Y Pan","year":"2019","unstructured":"Pan, Y., Yang, S., Peng, H., Li, T., Wang, W.: Specific emitter identification based on deep residual networks. IEEE Access 7, 54425\u201354434 (2019)","journal-title":"IEEE Access"},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"032114","DOI":"10.1088\/1742-6596\/1550\/3\/032114","volume":"1550","author":"Y Xiao","year":"2020","unstructured":"Xiao, Y., Zhang Wei, X.: Specific emitter identification of radar based on one dimensional convolution neural network. J. Phys. Conf. Ser. 1550, 032114 (2020). IOP Publishing","journal-title":"J. Phys. Conf. Ser."},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/CJECE.2015.2496143","volume":"39","author":"G Huang","year":"2016","unstructured":"Huang, G., Yuan, Y., Wang, X., Huang, Z.: Specific emitter identification based on nonlinear dynamical characteristics. Can. J. Electr. Comput. Eng. 39(1), 34\u201341 (2016)","journal-title":"Can. J. Electr. Comput. Eng."},{"issue":"3","key":"18_CR9","doi-asserted-by":"publisher","first-page":"406","DOI":"10.12693\/APhysPolA.124.406","volume":"124","author":"J Dudczyk","year":"2013","unstructured":"Dudczyk, J., Kawalec, A.: Fractal features of specific emitter identification. Acta Phys. Pol. A 124(3), 406\u2013409 (2013)","journal-title":"Acta Phys. Pol. A"},{"issue":"2126","key":"18_CR10","doi-asserted-by":"publisher","first-page":"20170249","DOI":"10.1098\/rsta.2017.0249","volume":"376","author":"LJ Hadjileontiadis","year":"2018","unstructured":"Hadjileontiadis, L.J.: Continuous wavelet transform and higher-order spectrum: combinatory potentialities in breath sound analysis and electroencephalogram-based pain characterization. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 376(2126), 20170249 (2018)","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Xu, S.: Individual radio transmitter identification based on spurious modulation characteristics of signal envelop. IEEE (2008)","DOI":"10.1109\/MILCOM.2008.4753446"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Xu, J., Shen, W., Wang, W.: Individual recognition of communication emitter based on deep learning. In: 2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE), pp. 1\u20134. IEEE (2018)","DOI":"10.1109\/ISAPE.2018.8634244"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"102939","DOI":"10.1016\/j.dsp.2020.102939","volume":"110","author":"ZM Liu","year":"2021","unstructured":"Liu, Z.M.: Multi-feature fusion for specific emitter identification via deep ensemble learning. Digital Signal Process. 110, 102939 (2021)","journal-title":"Digital Signal Process."},{"issue":"11","key":"18_CR14","doi-asserted-by":"publisher","first-page":"2286","DOI":"10.1109\/LCOMM.2018.2864725","volume":"22","author":"X Li","year":"2018","unstructured":"Li, X., Huang, Z., Wang, F., Wang, X., Liu, T.: Toward convolutional neural networks on pulse repetition interval modulation recognition. IEEE Commun. Lett. 22(11), 2286\u20132289 (2018)","journal-title":"IEEE Commun. Lett."},{"issue":"12","key":"18_CR15","doi-asserted-by":"publisher","first-page":"2591","DOI":"10.1109\/LCOMM.2018.2871465","volume":"22","author":"L Ding","year":"2018","unstructured":"Ding, L., Wang, S., Wang, F., Zhang, W.: Specific emitter identification via convolutional neural networks. IEEE Commun. Lett. 22(12), 2591\u20132594 (2018)","journal-title":"IEEE Commun. Lett."},{"key":"18_CR16","first-page":"5341940","volume":"2021","author":"W Sun","year":"2021","unstructured":"Sun, W., Wang, L., Sun, S.: Radar emitter individual identification based on convolutional neural network learning. Math. Probl. Eng. 2021, 5341940 (2021)","journal-title":"Math. Probl. Eng."},{"key":"18_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.114296","volume":"260","author":"S Shen","year":"2020","unstructured":"Shen, S., Sadoughi, M., Li, M., Wang, Z., Hu, C.: Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries. Appl. Energy 260, 114296 (2020)","journal-title":"Appl. Energy"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Li, H., Jing, W., Bai, Y.: Radar emitter recognition based on deep learning architecture. In: 2016 CIE International Conference on Radar (RADAR), pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/RADAR.2016.8059512"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Ding, Y., Zhang, X., Tang, J.: A noisy sparse convolution neural network based on stacked auto-encoders. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3457\u20133461. IEEE (2017)","DOI":"10.1109\/SMC.2017.8123165"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87358-5_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T00:59:11Z","timestamp":1632963551000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87358-5_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030873578","9783030873585"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87358-5_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icig2021.csig.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"421","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"198","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was postponed due to the COVID19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}