{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T13:27:16Z","timestamp":1726061236609},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030361884"},{"type":"electronic","value":"9783030361891"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36189-1_39","type":"book-chapter","created":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T14:03:54Z","timestamp":1574949834000},"page":"472-483","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Hierarchical Student\u2019s t-Distributions Based Unsupervised SAR Image Segmentation Method"],"prefix":"10.1007","author":[{"given":"Yuhui","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahui","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byeungwoo","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,29]]},"reference":[{"issue":"5","key":"39_CR1","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1109\/TGRS.2017.2769710","volume":"56","author":"L Gemme","year":"2018","unstructured":"Gemme, L., Dellepiane, S.G.: An automatic data-driven method for SAR image segmentation in sea surface analysis. IEEE Trans. Geosci. Remote Sens. 56(5), 2633\u20132646 (2018)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"5","key":"39_CR2","doi-asserted-by":"publisher","first-page":"2846","DOI":"10.1109\/TFUZZ.2018.2814591","volume":"26","author":"Y Guo","year":"2018","unstructured":"Guo, Y., Jiao, L., Wang, S., Liu, F., Hua, W.: Fuzzy-superpixels for polarimetric SAR images classification. IEEE Trans. Fuzzy Syst. 26(5), 2846\u20132860 (2018)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"39_CR3","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1109\/TPAMI.2016.2567393","volume":"39","author":"D Zhang","year":"2017","unstructured":"Zhang, D., Meng, D., Han, J.: Co-saliency detection via a self-paced multiple-instance learning framework. IEEE Trans. Pattern Anal. Mach. Intell. 39(5), 865\u2013878 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"39_CR4","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.1049\/iet-ipr.2016.0901","volume":"11","author":"F Wang","year":"2017","unstructured":"Wang, F., Wu, Y., Zhang, P., Li, M.: Synthetic aperture radar image segmentation using non-linear diffusion-based hierarchical triplet Markov fields model. IET Image Process. 11(12), 1302\u20131309 (2017)","journal-title":"IET Image Process."},{"issue":"5","key":"39_CR5","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1049\/iet-cvi.2014.0295","volume":"9","author":"G Akbarizadeh","year":"2015","unstructured":"Akbarizadeh, G., Rahmani, M.: Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images. IET Comput. Vis. 9(5), 629\u2013638 (2015)","journal-title":"IET Comput. Vis."},{"issue":"5","key":"39_CR6","doi-asserted-by":"publisher","first-page":"2560","DOI":"10.1109\/TIP.2018.2806201","volume":"27","author":"S Luo","year":"2018","unstructured":"Luo, S., Tong, L., Chen, Y.: A multi-region segmentation method for SAR images based on the Multi-texture model. IEEE Trans. Image Process. 27(5), 2560\u20132574 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"39_CR7","first-page":"414","volume":"430","author":"A Thangarajah","year":"2018","unstructured":"Thangarajah, A., Wu, Q.M., Yang, J.Y.: Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution. Inf. Sci. 430, 414\u2013431 (2018)","journal-title":"Inf. Sci."},{"issue":"1","key":"39_CR8","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1109\/TMI.2011.2165342","volume":"31","author":"TM Nguyen","year":"2012","unstructured":"Nguyen, T.M., Wu, Q.M.J.: Robust student\u2019s-t mixture model with spatial constraints and its application in medical image segmentation. IEEE Trans. Med. Imaging 31(1), 103\u2013116 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"39_CR9","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1023\/A:1008981510081","volume":"10","author":"D Peel","year":"2000","unstructured":"Peel, D., McLachlan, G.: Robust mixture modeling using the t-distribution. Stat. Comput. 10(4), 339\u2013348 (2000)","journal-title":"Stat. Comput."},{"issue":"2","key":"39_CR10","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/LSP.2012.2230626","volume":"20","author":"H Zhang","year":"2013","unstructured":"Zhang, H., Wu, Q.M.J., Nguyen, T.M.: A robust fuzzy algorithm based on student\u2019s t-distribution and mean template for image segmentation application. IEEE Signal Process. Lett. 20(2), 117\u2013120 (2013)","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"39_CR11","first-page":"128","volume":"14","author":"P Clifford","year":"1990","unstructured":"Clifford, P.: Markov random fields in statistics. Disord. Phys. Syst. A 14(1), 128\u2013135 (1990)","journal-title":"Disord. Phys. Syst. A"},{"issue":"7","key":"39_CR12","doi-asserted-by":"publisher","first-page":"1014","DOI":"10.1109\/83.701161","volume":"7","author":"S Sanjay-Gopal","year":"1998","unstructured":"Sanjay-Gopal, S., Hebert, T.J.: Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm. IEEE Trans. Image Process. 7(7), 1014\u20131028 (1998)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"39_CR13","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang, Y., Brady, M., Smith, S.: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging 20(1), 45\u201357 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"39_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1162\/neco.1994.6.2.181","volume":"6","author":"I Michael","year":"1994","unstructured":"Michael, I., Robert, A.: Hierarchical mixtures of experts and the EM algorithm. Neural Comput. 6(2), 181\u2013214 (1994)","journal-title":"Neural Comput."},{"issue":"9","key":"39_CR15","doi-asserted-by":"publisher","first-page":"1657","DOI":"10.1109\/TPAMI.2008.215","volume":"31","author":"SP Chatzis","year":"2009","unstructured":"Chatzis, S.P., Kosmopoulos, D.I., Varvarigou, T.A.: Robust sequential data modeling using an outlier tolerant hidden Markov model. IEEE Trans. Pattern Anal. Mach. Intell. 31(9), 1657\u20131669 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"39_CR16","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1016\/j.imavis.2008.11.013","volume":"27","author":"D Gerogiannis","year":"2009","unstructured":"Gerogiannis, D., Nikou, C., Likas, A.: The mixtures of student\u2019s t-distributions as a robust framework for rigid registration. Image Vis. Comput. 27(9), 1285\u20131294 (2009)","journal-title":"Image Vis. Comput."},{"issue":"2","key":"39_CR17","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/TNNLS.2012.2228227","volume":"24","author":"H Zhang","year":"2013","unstructured":"Zhang, H., Wu, Q.M.J., Nguyen, T.M.: Incorporating mean template into finite mixture model for image segmentation. IEEE Trans. Neural Netw. Learn. Syst. 24(2), 328\u2013335 (2013)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2","key":"39_CR18","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/TNN.2004.841773","volume":"16","author":"K Blekas","year":"2005","unstructured":"Blekas, K., Likas, A., Galatsanos, N.P., Lagaris, I.E.: A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Netw. 16(2), 494\u2013498 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"7","key":"39_CR19","doi-asserted-by":"publisher","first-page":"4391","DOI":"10.1109\/TGRS.2013.2281854","volume":"52","author":"H Zhang","year":"2014","unstructured":"Zhang, H., Wu, Q.M.J., Nguyen, T.M., Sun, X.: Synthetic aperture radar image segmentation by modified student\u2019s t-mixture model. IEEE Trans. Geosci. Remote Sens. 52(7), 4391\u20134403 (2014)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"11","key":"39_CR20","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1049\/iet-ipr.2017.0407","volume":"11","author":"L Kong","year":"2017","unstructured":"Kong, L., Zhang, H., Zheng, Y., Chen, Y., Zhu, J., Wu, Q.M.J.: Image segmentation using a hierarchical student\u2019s-t mixture model. IET Image Process. 11(11), 1094\u20131102 (2017)","journal-title":"IET Image Process."},{"issue":"6","key":"39_CR21","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1109\/TIP.2015.2409562","volume":"24","author":"V Estellers","year":"2015","unstructured":"Estellers, V., Soatto, S., Bresson, X.: Adaptive regularization with the structure tensor. IEEE Trans. Image Process. 24(6), 1777\u20131790 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"39_CR22","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1049\/el.2014.3494","volume":"51","author":"Y Zheng","year":"2015","unstructured":"Zheng, Y., Beon, J., Zhang, W., Chen, Y.: Adaptively determining regularization parameters in nonlocal total variation regularization for image denoising. Electron. Lett. 51(2), 144\u2013145 (2015)","journal-title":"Electron. Lett."},{"issue":"5","key":"39_CR23","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1109\/TFUZZ.2008.2005008","volume":"16","author":"SP Chatzis","year":"2008","unstructured":"Chatzis, S.P., Varvarigou, T.A.: A fuzzy clustering approach toward hidden Markov random field models for enhanced spatially constrained image segmentation. IEEE Trans. Fuzzy Syst. 16(5), 1351\u20131361 (2008)","journal-title":"IEEE Trans. Fuzzy Syst."}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering. Visual Data Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36189-1_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,7]],"date-time":"2022-10-07T04:04:07Z","timestamp":1665115447000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-36189-1_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030361884","9783030361891"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36189-1_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IScIDE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Science and Big Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iscide2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iscide.njust.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}