{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:53:27Z","timestamp":1743152007093,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030880064"},{"type":"electronic","value":"9783030880071"}],"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\/978-3-030-88007-1_49","type":"book-chapter","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T23:06:25Z","timestamp":1634857585000},"page":"597-609","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Combination Classifier of Polarimetric SAR Image Based on D-S Evidence Theory"],"prefix":"10.1007","author":[{"given":"Jiaqi","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuyin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiguo","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erlei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,22]]},"reference":[{"issue":"3","key":"49_CR1","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1109\/36.673687","volume":"36","author":"A Freeman","year":"1998","unstructured":"Freeman, A., Durden, S.L.: A three-component scattering model for polarimetric SAR data. IEEE Trans. Geosci. Remote Sens. 36(3), 963\u2013973 (1998)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"18","key":"49_CR2","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1049\/el:19900979","volume":"26","author":"E Krogager","year":"2002","unstructured":"Krogager, E.: New decomposition of the radar target scattering matrix. Electron. Lett. 26(18), 1525\u20131527 (2002)","journal-title":"Electron. Lett."},{"unstructured":"Cloude, S.R.: An entropy based classification scheme for polarimetric SAR data. In: Geoscience and Remote Sensing Symposium, 1995. IGARSS 1995. \u2018Quantitative Remote Sensing for Science and Applications\u2019. International IEEE Xplore (1995)","key":"49_CR3"},{"doi-asserted-by":"crossref","unstructured":"Huynen, J.R.: Physical reality of radar targets. In: Proceedings of SPIE - The International Society for Optical Engineering (1993)","key":"49_CR4","DOI":"10.1117\/12.140636"},{"issue":"5","key":"49_CR5","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/36.312890","volume":"32","author":"KW Jong-Sen Lee","year":"1994","unstructured":"Jong-Sen Lee, K.W., Hoppel, S.A., Mango, A.R.M.: Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery. IEEE Trans. Geosci. Remote Sens. 32(5), 1017\u20131028 (1994)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"unstructured":"Lee, J.S, Grunes, M.R.: Classification of multi-look polarimetric SAR imagery based on complex wishart distribution. Int. J. Remote Sens. (1992)","key":"49_CR6"},{"key":"49_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995). https:\/\/doi.org\/10.1007\/978-1-4757-2440-0"},{"issue":"13\u201314","key":"49_CR8","first-page":"1","volume":"40","author":"R Shang","year":"2019","unstructured":"Shang, R., Liu, Y., Wang, J., Jiao, L., Stolkin, R.: Stacked auto-encoder for classification of polarimetric SAR images based on scattering energy. Int. J. Remote Sens. 40(13\u201314), 1\u201327 (2019)","journal-title":"Int. J. Remote Sens."},{"issue":"521","key":"49_CR9","first-page":"634","volume":"2015","author":"Y Lecun","year":"2015","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 2015(521), 634\u2013644 (2015)","journal-title":"Nature"},{"issue":"1","key":"49_CR10","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/36.655339","volume":"36","author":"YC Tzeng","year":"1998","unstructured":"Tzeng, Y.C., Chen, K.S.: A fuzzy neural network to SAR image classification. IEEE Trans. Geosci. Remote Sens. 36(1), 301\u2013307 (1998)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"doi-asserted-by":"crossref","unstructured":"Zhao, F., Ma, G., Xie, W., Liu, H.: Semi-supervised recurrent complex-valued convolution neural network for polsar image classification. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE (2019)","key":"49_CR11","DOI":"10.1109\/IGARSS40859.2019.8949892"},{"key":"49_CR12","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.isprsjprs.2015.03.002","volume":"105","author":"D Peijun","year":"2015","unstructured":"Peijun, D., Samat, A., Waske, B., Liu, S., Li, Z.: Random forest and rotation forest for fully polarized SAR image classification using polarimetric and spatial features. ISPRS J. Photogr. Remote Sens. 105, 38\u201353 (2015)","journal-title":"ISPRS J. Photogr. Remote Sens."},{"issue":"5","key":"49_CR13","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1049\/el:20000374","volume":"36","author":"G Giacinto","year":"2000","unstructured":"Giacinto, G., Roli, F., Fumera, G.: Selection of image classifiers. Electron. Lett. 36(5), 420 (2000)","journal-title":"Electron. Lett."},{"issue":"3","key":"49_CR14","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/21.155943","volume":"22","author":"L Xu","year":"1992","unstructured":"Xu, L., Krzyzak, A.: Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Cybernet. 22(3), 418\u2013435 (1992)","journal-title":"IEEE Trans. Cybernet."},{"issue":"6\u20137","key":"49_CR15","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1016\/S0167-8655(01)00014-9","volume":"22","author":"CR Parikh","year":"2001","unstructured":"Parikh, C.R., Pont, M.J., Jones, N.B.: Application of dempster-shafer theory in condition monitoring applications: a case study. Pattern Recogn. Lett. 22(6\u20137), 777\u2013785 (2001)","journal-title":"Pattern Recogn. Lett."},{"key":"49_CR16","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.ins.2016.01.033","volume":"340\u2013341","author":"X Deng","year":"2016","unstructured":"Deng, X., Liu, Q., Deng, Y., Mahadevan, S.: An improved method to construct basic probability assignment based on the confusion matrix for classification problem. Inf. Sci. 340\u2013341, 250\u2013261 (2016)","journal-title":"Inf. Sci."},{"issue":"2","key":"49_CR17","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1214\/aoms\/1177698950","volume":"38","author":"AP Dempster","year":"1967","unstructured":"Dempster, A.P.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38(2), 325\u2013339 (1967)","journal-title":"Ann. Math. Stat."},{"doi-asserted-by":"crossref","unstructured":"Shafer, G.: A mathematical theory of evidence. Technometrics 20 (1976)","key":"49_CR18","DOI":"10.1515\/9780691214696"},{"key":"49_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8","volume-title":"Encyclopedia of Machine Learning","year":"2010","unstructured":"Sammut, C., Webb, G.I. (eds.): Encyclopedia of Machine Learning. Springer, Boston (2010). https:\/\/doi.org\/10.1007\/978-0-387-30164-8"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88007-1_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:59:35Z","timestamp":1710359975000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88007-1_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030880064","9783030880071"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88007-1_49","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":"22 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","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":"29 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.prcv.cn\/2021\/index_en.html","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":"513","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":"201","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":"39% - 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":"5","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":"There were 30 oral and 171 poster presentations at the conference.","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)"}}]}}