{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:35:42Z","timestamp":1776886542272,"version":"3.51.2"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T00:00:00Z","timestamp":1496188800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61331015"],"award-info":[{"award-number":["61331015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EURASIP J. Adv. Signal Process."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s13634-017-0478-8","type":"journal-article","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T13:01:50Z","timestamp":1496235710000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Learning from label proportions for SAR image classification"],"prefix":"10.1186","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5629-8756","authenticated-orcid":false,"given":"Yongke","family":"Ding","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanxiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxian","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,31]]},"reference":[{"issue":"1","key":"478_CR1","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1109\/JSTARS.2013.2262038","volume":"7","author":"Y Ding","year":"2014","unstructured":"Y Ding, Y Li, W Yu, SAR image classification based on CRFs with integration of local label context and pairwise label compatibility. IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing. 7(1), 300\u2013306 (2014). doi: 10.1109\/JSTARS.2013.2262038 .","journal-title":"IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing"},{"key":"478_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-29711-1","volume-title":"Remote sensing digital image analysis: an introduction","author":"JA Richards","year":"2006","unstructured":"JA Richards, X Jia, Remote sensing digital image analysis: an introduction (Springer, Berlin, 2006)."},{"issue":"4","key":"478_CR3","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1109\/JSTARS.2012.2195774","volume":"5","author":"P Gamba","year":"2012","unstructured":"P Gamba, M Aldrighi, SAR data classification of urban areas by means of segmentation techniques and ancillary optical data. IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing. 5(4), 1140\u20131148 (2012). doi: 10.1109\/JSTARS.2012.2195774 .","journal-title":"IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing"},{"issue":"2","key":"478_CR4","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TGRS.2006.887006","volume":"45","author":"C Tison","year":"2007","unstructured":"C Tison, F Tupin, H Maitre, A fusion scheme for joint retrieval of urban height map and classification from high-resolution interferometric SAR images. IEEE Trans. Geosci. Remote Sensing. 45(2), 496\u2013505 (2007). doi: 10.1109\/TGRS.2006.887006 .","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"11","key":"478_CR5","doi-asserted-by":"crossref","first-page":"3408","DOI":"10.1109\/TGRS.2006.878442","volume":"44","author":"S Rajan","year":"2006","unstructured":"S Rajan, J Ghosh, MM Crawford, Exploiting class hierarchies for knowledge transfer in hyperspectral data. IEEE Trans. Geosci. Remote Sensing. 44(11), 3408\u20133417 (2006). doi: 10.1109\/TGRS.2006.878442 .","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"11","key":"478_CR6","doi-asserted-by":"crossref","first-page":"4468","DOI":"10.1109\/TGRS.2012.2192740","volume":"50","author":"C Persello","year":"2012","unstructured":"C Persello, L Bruzzone, Active learning for domain adaptation in the supervised classification of remote sensing images. IEEE Trans. Geosci. Remote Sensing. 50(11), 4468\u20134483 (2012). doi: 10.1109\/TGRS.2012.2192740 .","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"4","key":"478_CR7","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1109\/LGRS.2012.2220516","volume":"10","author":"C Persello","year":"2013","unstructured":"C Persello, Interactive domain adaptation for the classification of remote sensing images using active learning. IEEE Geosci. Remote Sensing Lett.10(4), 736\u2013740 (2013). doi: 10.1109\/LGRS.2012.2220516 .","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"issue":"8","key":"478_CR8","doi-asserted-by":"crossref","first-page":"3219","DOI":"10.1109\/TIP.2013.2259838","volume":"22","author":"B Demir","year":"2013","unstructured":"B Demir, F Bovolo, L Bruzzone, Classification of time series of multispectral images with limited training data. IEEE Trans. Image Process.22(8), 3219\u20133233 (2013). doi: 10.1109\/TIP.2013.2259838 .","journal-title":"IEEE Trans. Image Process."},{"key":"478_CR9","first-page":"2349","volume":"10","author":"N Quadrianto","year":"2009","unstructured":"N Quadrianto, AJ Smola, TS Caetano, QV Le, Estimating labels from label proportions. J. Mach. Learn. Res.10:, 2349\u20132374 (2009).","journal-title":"J. Mach. Learn. Res."},{"key":"478_CR10","first-page":"911","volume-title":"Proceedings of the 27th International Conference on Machine Learning","author":"S Rueping","year":"2010","unstructured":"S Rueping, in Proceedings of the 27th International Conference on Machine Learning. SVM classifier estimation from group probabilities (ACMHaifa, 2010), pp. 911\u2013918."},{"key":"478_CR11","first-page":"504","volume-title":"Proceedings of the 30rd International Conference on Machine Learning","author":"F Yu","year":"2013","unstructured":"F Yu, D Liu, S Kumar, T Jebara, S Chang, in Proceedings of the 30rd International Conference on Machine Learning. \u221dSVM for learning with label proportions (ACMAtlanta, 2013), pp. 504\u2013512."},{"key":"478_CR12","first-page":"190","volume-title":"Advances in Neural Information Processing Systems 27","author":"G Patrini","year":"2014","unstructured":"G Patrini, R Nock, T Caetano, P Rivera, in Advances in Neural Information Processing Systems 27, ed. by Z Ghahramani, M Welling, C Cortes, ND Lawrence, and KQ Weinberger. No label no cry (Curran Associates, Inc.North Miami Beach, 2014), pp. 190\u2013198."},{"key":"478_CR13","first-page":"1091","volume-title":"Proceeding of the 24th International Conference on Computational Linguistics","author":"SS Keerthi","year":"2012","unstructured":"SS Keerthi, S Sundararajan, S Shevade, in Proceeding of the 24th International Conference on Computational Linguistics. Extension of TSVM to multi-class and hierarchical text classication problems with general losses (Association for Computational LinguisticsMumbai, 2012), pp. 1091\u20131100."},{"key":"478_CR14","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1109\/IGARSS.2013.6723205","volume-title":"2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","author":"Y Ding","year":"2013","unstructured":"Y Ding, L Qiu, P Yang, Z Zhou, Y Li, W Yu, in 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Scene scattering descriptor for urban classification in very high resolution SAR images, (IEEEMelbourne, 2013), pp. 2015\u20132018, doi: 10.1109\/IGARSS.2013.6723205 ."},{"issue":"3","key":"478_CR15","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"C Cortes, V Vapnik, Support-vector networks. Mach. Learn.20(3), 273\u2013297 (1995). doi: 10.1007\/BF00994018 .","journal-title":"Mach. Learn."},{"issue":"3","key":"478_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"C-C Chang, C-J Lin, LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol.2(3), 1\u201327 (2011). doi: 10.1145\/1961189.1961199 .","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"478_CR17","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1145\/1273496.1273521","volume-title":"Proceedings of the 24th International Conference on Machine Learning","author":"W Dai","year":"2007","unstructured":"W Dai, Q Yang, G-R Xue, Y Yu, in Proceedings of the 24th International Conference on Machine Learning. Boosting for transfer learning (ACMCorvallis, 2007), pp. 193\u2013200, doi: 10.1145\/1273496.1273521 ."},{"issue":"1","key":"478_CR18","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Y Freund, RE Schapire, A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci.55(1), 119\u2013139 (1997). doi: 10.1006\/jcss.1997.1504 .","journal-title":"J. Comput. Syst. Sci."},{"key":"478_CR19","doi-asserted-by":"crossref","DOI":"10.1201\/b12207","volume-title":"Ensemble methods: foundations and algorithms","author":"ZH Zhou","year":"2012","unstructured":"ZH Zhou, Ensemble methods: foundations and algorithms (Taylor & Francis, New York, 2012)."},{"key":"478_CR20","first-page":"52","volume-title":"2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","author":"G Jun","year":"2008","unstructured":"G Jun, J Ghosh, in 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1. An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis (IEEEBoston, 2008), pp. 52\u201355, doi: 10.1109\/IGARSS.2008.4778790 ."},{"key":"478_CR21","first-page":"975","volume":"5","author":"T-F Wu","year":"2004","unstructured":"T-F Wu, C-J Lin, RC Weng, Probability estimates for multi-class classification by pairwise coupling. J. Mach. Learn. Res.5:, 975\u20131005 (2004).","journal-title":"J. Mach. Learn. Res."},{"key":"478_CR22","volume-title":"Inequalities, Cambridge Mathematical Library. Section 10.2, Theorem 368","author":"GH Hardy","year":"1952","unstructured":"GH Hardy, JE Littlewood, G P\u00f3lya, Inequalities, Cambridge Mathematical Library. Section 10.2, Theorem 368 (Cambridge University Press, Cambridge, 1952)."},{"issue":"2","key":"478_CR23","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/LGRS.2010.2058997","volume":"8","author":"D Dai","year":"2011","unstructured":"D Dai, W Yang, H Sun, Multilevel local pattern histogram for SAR image classification. IEEE Geosci. Remote Sensing Lett.8(2), 225\u2013229 (2011). doi: 10.1109\/lgrs.2010.2058997 .","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"key":"478_CR24","volume-title":"Polarimetric radar imaging: from basics to applications","author":"JS Lee","year":"2009","unstructured":"JS Lee, E Pottier, Polarimetric radar imaging: from basics to applications (CRC Press, Boca Raton, 2009)."}],"container-title":["EURASIP Journal on Advances in Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-017-0478-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13634-017-0478-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-017-0478-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T20:51:34Z","timestamp":1692823894000},"score":1,"resource":{"primary":{"URL":"https:\/\/asp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13634-017-0478-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,31]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["478"],"URL":"https:\/\/doi.org\/10.1186\/s13634-017-0478-8","relation":{},"ISSN":["1687-6180"],"issn-type":[{"value":"1687-6180","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,31]]},"article-number":"41"}}