{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:57:44Z","timestamp":1742929064250,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319691541"},{"type":"electronic","value":"9783319691558"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-69155-8_11","type":"book-chapter","created":{"date-parts":[[2017,10,10]],"date-time":"2017-10-10T09:43:16Z","timestamp":1507628596000},"page":"151-161","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Spectral-Spatial Classification of Hyperspectral Imagery Using Support Vector and Fuzzy-MRF"],"prefix":"10.1007","author":[{"given":"Sumit","family":"Chakravarty","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhushri","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonali","family":"Chandel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,11]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"2170","DOI":"10.1110\/ps.04814404","volume":"13","author":"M Arai","year":"2004","unstructured":"Arai, M., Okumura, K., Satake, M., Shimizu, T.: Proteome-wide functional classification and identification of prokaryotic transmembrane proteins by transmembrane topology similarity comparison. Protein Sci. 13, 2170\u20132183 (2004)","journal-title":"Protein Sci."},{"key":"11_CR2","doi-asserted-by":"publisher","unstructured":"He, M., Imran, F.M., Belkacem B., Mei, S.: Improving hyperspectral image classification accuracy using Iterative SVM with spatial-spectral information. In: 2013 IEEE China Summit and International Conference on Signal and Information Processing, Beijing, pp. 471\u2013475 (2013). doi: 10.1109\/ChinaSIP.2013.6625384","DOI":"10.1109\/ChinaSIP.2013.6625384"},{"key":"11_CR3","doi-asserted-by":"publisher","unstructured":"Khodadadzadeh, M., Rajabi, R., Ghassemian, H.: A novel approach for spectral-spatial classification of hyperspectral data based on SVM-MRF method. In: 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, pp. 1890\u20131893 (2011). doi: 10.1109\/IGARSS.2011.6049493","DOI":"10.1109\/IGARSS.2011.6049493"},{"key":"11_CR4","doi-asserted-by":"publisher","unstructured":"Khodadadzadeh, M., Li, J., Plaza, A., Ghassemian H., Bioucas-Dias, J.M.: Spectral-spatial classification for hyperspectral data using SVM and subspace MLR. In: 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, Melbourne, VIC, pp. 2180\u20132183 (2013). doi: 10.1109\/IGARSS.2013.6723247","DOI":"10.1109\/IGARSS.2013.6723247"},{"key":"11_CR5","doi-asserted-by":"publisher","unstructured":"Borhani, M., Ghassemian, H.: Hyperspectral image classification based on spectral-spatial features using probabilistic SVM and locally weighted Markov random fields. In: 2014 Iranian Conference on Intelligent Systems (ICIS), Bam, pp. 1\u20136 (2014). doi: 10.1109\/IranianCIS.2014.6802573","DOI":"10.1109\/IranianCIS.2014.6802573"},{"issue":"4","key":"11_CR6","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1109\/JSTARS.2014.2308425","volume":"7","author":"P Quesada-Barriuso","year":"2014","unstructured":"Quesada-Barriuso, P., Arg\u00fcello, F., Heras, D.B.: Spectral\u2013spatial classification of hyperspectral images using wavelets and extended morphological profiles. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7(4), 1177\u20131185 (2014). doi: 10.1109\/JSTARS.2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"6","key":"11_CR7","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1109\/JSTARS.2015.2446611","volume":"8","author":"B Kumar","year":"2015","unstructured":"Kumar, B., Dikshit, O.: Spectral\u2013spatial classification of hyperspectral imagery based on moment invariants. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8(6), 2457\u20132463 (2015). doi: 10.1109\/JSTARS.2015.2446611","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Ma, A., Zhong, Y., Zhao, B., Jiao, H., Zhang, L.: Spectral-spatial DNA encoding discriminative classifier for hyperspectral remote sensing imagery. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, pp. 1710\u20131713 (2015). doi: 10.1109\/IGARSS.2015.7326117","DOI":"10.1109\/IGARSS.2015.7326117"},{"key":"11_CR9","doi-asserted-by":"publisher","unstructured":"He, Z., Shen, Y., Zhang, M., Wang, Q., Wang, Y., Yu, R.: Spectral-spatial hyperspectral image classification via SVM and superpixel segmentation. In: 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, pp. 422\u2013427 (2014). doi: 10.1109\/I2MTC.2014.6860780","DOI":"10.1109\/I2MTC.2014.6860780"},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Poorahangaryan, F., Ghassemian, H.: Spectral-spatial hyperspectral classification with spatial filtering and minimum spanning forest. In: 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), Tehran, pp. 49\u201352 (2015). doi: 10.1109\/IranianMVIP.2015.7397502","DOI":"10.1109\/IranianMVIP.2015.7397502"},{"issue":"9","key":"11_CR11","doi-asserted-by":"publisher","first-page":"4086","DOI":"10.1109\/JSTARS.2016.2526604","volume":"9","author":"J Wang","year":"2016","unstructured":"Wang, J., Jiao, L., Wang, S., Hou, B., Liu, F.: Adaptive Nonlocal Spatial-Spectral Kernel for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 9(9), 4086\u20134101 (2016). doi: 10.1109\/JSTARS.2016.2526604","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"11_CR12","doi-asserted-by":"publisher","unstructured":"Yu, H., Gao, L., Li, J., Zhang, B.: Spectral-spatial classification based on subspace support vector machine and Markov random field. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, pp. 2783\u20132786 (2016). doi: 10.1109\/IGARSS","DOI":"10.1109\/IGARSS"},{"key":"11_CR13","unstructured":"Izhar, et. al.: Fuzzy logic based edge detection for noisy images. Tech. J. 20(SI)(II(S)) (2015). University of Engineering and Technology (UET) Taxila, Pakistan"},{"key":"11_CR14","doi-asserted-by":"publisher","unstructured":"Baumgardner, M.F., Biehl, L.L., Landgrebe, D.A.: 220 band AVIRIS hyperspectral image data set: june 12, 1992 indian pine test site 3. Purdue University Research Repository (2015). doi: 10.4231\/R7RX991C","DOI":"10.4231\/R7RX991C"},{"key":"11_CR15","unstructured":"https:\/\/engineering.purdue.edu\/~biehl\/MultiSpec\/hyperspectral.html"},{"issue":"3","key":"11_CR16","first-page":"283","volume":"1","author":"V Vapnik","year":"1991","unstructured":"Vapnik, V., Chervonenkis, A.: The necessary and sufficient conditions forconsistencyin the empirical risk minimization method. Pattern Recogn. Image Anal. 1(3), 283\u2013305 (1991)","journal-title":"Pattern Recogn. Image Anal."},{"issue":"8","key":"11_CR17","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1109\/TGRS.2004.831865","volume":"42","author":"F Melgani","year":"2004","unstructured":"Melgani, F., Bruzzone, L.: Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geosci. Remote Sens. 42(8), 1778\u20131790 (2004)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"11_CR18","first-page":"975","volume":"5","author":"T-F Wu","year":"2004","unstructured":"Wu, T.-F., Lin, C.-J., Weng, R.C.: Probability estimates for multi-class classification by pairwise coupling. J. Mach. Learn. Res. 5, 975\u20131005 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR19","unstructured":"Chang, C., Lin, C.: LIBSVM: a library for support vector machines (2009). http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"11_CR20","doi-asserted-by":"publisher","DOI":"10.1002\/0470124628","volume-title":"Hyperspectral Data Exploitation: Theory and Applications","author":"C-I Chang","year":"2007","unstructured":"Chang, C.-I.: Hyperspectral Data Exploitation: Theory and Applications. Wiley, New York (2007)"},{"key":"11_CR21","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-29711-1","volume-title":"Remote Sensing Digital Image Analysis","author":"JA Richards","year":"2006","unstructured":"Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis, 4th edn. Springer, Heidelberg (2006)","edition":"4"}],"container-title":["Lecture Notes in Computer Science","Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69155-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T22:37:05Z","timestamp":1693089425000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69155-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319691541","9783319691558"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69155-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"11 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDDC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vancouver","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isddc2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.scs.ryerson.ca\/iwoungan\/ISDDC17\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}