{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T16:54:54Z","timestamp":1649004894906},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T00:00:00Z","timestamp":1507852800000},"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":["Soft Comput"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1007\/s00500-017-2867-1","type":"journal-article","created":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T12:36:46Z","timestamp":1507898206000},"page":"1475-1490","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Segmentation and classification of hyperspectral images using CHV pattern extraction grid"],"prefix":"10.1007","volume":"22","author":[{"given":"Gokulakrishnan","family":"Gopalan","sequence":"first","affiliation":[]},{"given":"Tholkappia Arasu","family":"Govindarajan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"2867_CR1","doi-asserted-by":"crossref","unstructured":"Akbari D, Homayouni S, Safari A, Khazai S (2014) An efficient framework for spectral\u2013spatial classification of hyperspectral images in urban areas. In: IEEE international geoscience and remote sensing symposium (IGARSS) 2014: 2886\u20132889","DOI":"10.1109\/IGARSS.2014.6947079"},{"key":"2867_CR2","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1109\/JSTARS.2013.2262926","volume":"7","author":"K Bor-Chen","year":"2014","unstructured":"Bor-Chen K, Hsin-Hua H, Cheng-Hsuan L, Chih-Cheng H, Jin-Shiuh T (2014) A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification. IEEE J Sel Top Appl Earth Obs Remote Sens 7:317\u2013326","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"2867_CR3","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1109\/LGRS.2016.2596039","volume":"13","author":"Z Chunsen","year":"2016","unstructured":"Chunsen Z, Yiwei Z, Chenyi F (2016) Spectral\u2013spatial classification of hyperspectral images using probabilistic weighted strategy for multifeature fusion. IEEE Geosci Remote Sens Lett 13:1562\u20131566","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"2867_CR4","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/JSTARS.2011.2176721","volume":"5","author":"I D\u00f3pido","year":"2012","unstructured":"D\u00f3pido I, Villa A, Plaza A, Gamba P (2012) A quantitative and comparative assessment of unmixing-based feature extraction techniques for hyperspectral image classification. IEEE J Sel Top Appl Earth Obs Remote Sens 5:421\u2013435","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"2867_CR5","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1109\/JPROC.2012.2197589","volume":"101","author":"M Fauvel","year":"2013","unstructured":"Fauvel M, Tarabalka Y, Benediktsson JA, Chanussot J, Tilton JC (2013) Advances in spectral\u2013spatial classification of hyperspectral images. Proc IEEE 101:652\u2013675","journal-title":"Proc IEEE"},{"key":"2867_CR6","doi-asserted-by":"crossref","first-page":"2769","DOI":"10.1109\/TIP.2014.2319735","volume":"23","author":"Y Gao","year":"2014","unstructured":"Gao Y, Ji R, Cui P, Dai Q, Hua G (2014) Hyperspectral image classification through bilayer graph-based learning. IEEE Trans Image Process 23:2769\u20132778","journal-title":"IEEE Trans Image Process"},{"key":"2867_CR7","doi-asserted-by":"crossref","first-page":"2382","DOI":"10.1109\/TGRS.2013.2260552","volume":"52","author":"P Ghamisi","year":"2014","unstructured":"Ghamisi P, Couceiro MS, Martins FM, Benediktsson J Atli (2014) Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization. IEEE Trans Geosci Remote Sens 52:2382\u20132394","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR8","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1109\/TNNLS.2016.2527796","volume":"28","author":"B Gu","year":"2017","unstructured":"Gu B, Sheng VS (2017) A robust regularization path algorithm for $$\\nu $$ \u03bd -support vector classification. IEEE Trans Neural Netw Learn Syst 28:1241\u20131248","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2867_CR9","unstructured":"Gu B, Sheng VS, Li S (2015a) Bi-parameter space partition for cost-sensitive SVM. In: IJCAI, pp 3532\u20133539"},{"key":"2867_CR10","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neunet.2015.03.013","volume":"67","author":"B Gu","year":"2015","unstructured":"Gu B, Sheng VS, Wang Z, Ho D, Osman S, Li S (2015b) Incremental learning for $$\\nu $$ \u03bd -support vector regression. Neural Netw 67:140\u2013150","journal-title":"Neural Netw"},{"key":"2867_CR11","first-page":"1647","volume":"28","author":"B Gu","year":"2017","unstructured":"Gu B, Sun X, Sheng VS (2017) Structural minimax probability machine. IEEE Trans Neural Netw Learn Syst 28:1647\u20131656","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2867_CR12","unstructured":"Hyperspectral remote sensing scenes (2014). Available: http:\/\/www.ehu.eus\/ccwintco\/index.php?title=Hyperspectral_Remote_Sensing_Scenes"},{"key":"2867_CR13","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1109\/TGRS.2013.2255297","volume":"52","author":"R Ji","year":"2014","unstructured":"Ji R, Gao Y, Hong R, Liu Q, Tao D, Li X (2014) Spectral\u2013spatial constraint hyperspectral image classification. IEEE Trans Geosci Remote Sens 52:1811\u20131824","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR14","doi-asserted-by":"crossref","first-page":"2666","DOI":"10.1109\/TGRS.2013.2264508","volume":"52","author":"X Kang","year":"2014","unstructured":"Kang X, Li S, Benediktsson JA (2014) Spectral-spatial hyperspectral image classification with edge-preserving filtering. IEEE Trans Geosci Remote Sens 52:2666\u20132677","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR15","first-page":"4085","volume":"48","author":"J Li","year":"2010","unstructured":"Li J, Bioucas-Dias JM, Plaza A (2010) Semisupervised hyperspectral image segmentation using multinomial logistic regression with active learning. IEEE Trans Geosci Remote Sens 48:4085\u20134098","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR16","doi-asserted-by":"crossref","first-page":"4816","DOI":"10.1109\/TGRS.2012.2230268","volume":"51","author":"J Li","year":"2013","unstructured":"Li J, Marpu P Reddy, Plaza A, Bioucas-Dias JM, Benediktsson J Atli (2013) Generalized composite kernel framework for hyperspectral image classification. IEEE Trans Geosci Remote Sens 51:4816\u20134829","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR17","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TIFS.2014.2381872","volume":"10","author":"J Li","year":"2015","unstructured":"Li J, Li X, Yang B, Sun X (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10:507\u2013518","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"2867_CR18","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/MSP.2013.2279894","volume":"31","author":"D Lunga","year":"2014","unstructured":"Lunga D, Prasad S, Crawford MM, Ersoy O (2014) Manifold-learning-based feature extraction for classification of hyperspectral data: a review of advances in manifold learning. IEEE Signal Process Mag 31:55\u201366","journal-title":"IEEE Signal Process Mag"},{"key":"2867_CR19","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1109\/LGRS.2012.2203784","volume":"10","author":"PR Marpu","year":"2013","unstructured":"Marpu PR, Pedergnana M, Mura MD, Benediktsson JA, Bruzzone L (2013) Automatic generation of standard deviation attribute profiles for spectral\u2013spatial classification of remote sensing data. IEEE Geosci Remote Sens Lett 10:293\u2013297","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"2867_CR20","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TGRS.2014.2346653","volume":"53","author":"A Meka","year":"2015","unstructured":"Meka A, Chaudhuri S (2015) A technique for simultaneous visualization and segmentation of hyperspectral data. IEEE Trans Geosci Remote Sens 53:1707\u20131717","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"2867_CR21","doi-asserted-by":"crossref","unstructured":"Menon V, Prasad S, Fowler JE (2015) Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features. In: IEEE international conference on image processing (ICIP), pp 2100\u20132104","DOI":"10.1109\/ICIP.2015.7351171"},{"key":"2867_CR22","unstructured":"Rafi M, Shaikh MS (2013) A comparison of SVM and RVM for document classification. arXiv preprint arXiv:1301.2785"},{"key":"2867_CR23","doi-asserted-by":"crossref","unstructured":"Salmon BP, Kleynhans W, van den Bergh F, Olivier JC, Marais WJ, Grobler TL et al (2012) A search algorithm to meta-optimize the parameters for an extended Kalman filter to improve classification on hyper-temporal images. In: 2012 IEEE international geoscience and remote sensing symposium (IGARSS), pp 4974\u20134977","DOI":"10.1109\/IGARSS.2012.6352495"},{"key":"2867_CR24","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.jfoodeng.2013.11.006","volume":"126","author":"F Tao","year":"2014","unstructured":"Tao F, Peng Y (2014) A method for nondestructive prediction of pork meat quality and safety attributes by hyperspectral imaging technique. J Food Eng 126:98\u2013106","journal-title":"J Food Eng"},{"key":"2867_CR25","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.1016\/j.patcog.2010.01.016","volume":"43","author":"Y Tarabalka","year":"2010","unstructured":"Tarabalka Y, Chanussot J, Benediktsson JA (2010) Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognit 43:2367\u20132379","journal-title":"Pattern Recognit"},{"key":"2867_CR26","first-page":"179","volume":"4","author":"G VeeraSenthilKumar","year":"2014","unstructured":"VeeraSenthilKumar G, Dhivya M, Sivasangari R, Suganya V (2014) Fuzzy based hyperspectral image segmentation using sub-pixel detection. Int J Inf 4:179\u2013188","journal-title":"Int J Inf"},{"key":"2867_CR27","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.chemolab.2012.05.009","volume":"117","author":"M Vidal","year":"2012","unstructured":"Vidal M, Amigo JM (2012) Pre-processing of hyperspectral images. Essential steps before image analysis. Chemom Intell Lab Syst 117:138\u2013148","journal-title":"Chemom Intell Lab Syst"},{"key":"2867_CR28","doi-asserted-by":"publisher","unstructured":"Wang J, Li T, Shi Y-Q, Lian S, Ye J (2016) Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics. Multimed Tools Appl. doi: 10.1007\/s11042-016-4153-0","DOI":"10.1007\/s11042-016-4153-0"},{"key":"2867_CR29","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.ins.2014.10.040","volume":"295","author":"X Wen","year":"2015","unstructured":"Wen X, Shao L, Xue Y, Fang W (2015) A rapid learning algorithm for vehicle classification. Inf Sci 295:395\u2013406","journal-title":"Inf Sci"},{"key":"2867_CR30","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1109\/LGRS.2011.2179005","volume":"9","author":"J Yin","year":"2012","unstructured":"Yin J, Gao C, Jia X (2012) Using Hurst and Lyapunov exponent for hyperspectral image feature extraction. IEEE Geosci Remote Sens Lett 9:705\u2013709","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"2867_CR31","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/CC.2016.7559076","volume":"13","author":"C Yuan","year":"2016","unstructured":"Yuan C, Sun X, Lv R (2016) Fingerprint liveness detection based on multi-scale LPQ and PCA. China Commun 13:60\u201365","journal-title":"China Commun"},{"key":"2867_CR32","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.1109\/LGRS.2014.2312754","volume":"11","author":"J Zabalza","year":"2014","unstructured":"Zabalza J, Jinchang R, Zheng W, Marshall S, Jun W (2014a) Singular spectrum analysis for effective feature extraction in hyperspectral imaging. IEEE Geosci Remote Sens Lett 11:1886\u20131890","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"2867_CR33","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.isprsjprs.2014.04.006","volume":"93","author":"J Zabalza","year":"2014","unstructured":"Zabalza J, Ren J, Yang M, Zhang Y, Wang J, Marshall S et al (2014b) Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing. ISPRS J Photogramm Remote Sens 93:112\u2013122","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"2867_CR34","doi-asserted-by":"crossref","first-page":"2082","DOI":"10.1016\/j.sigpro.2012.01.020","volume":"92","author":"H Zhang","year":"2012","unstructured":"Zhang H, Zhang L, Shen H (2012) A super-resolution reconstruction algorithm for hyperspectral images. Signal Process 92:2082\u20132096","journal-title":"Signal Process"},{"issue":"9","key":"2867_CR35","doi-asserted-by":"crossref","first-page":"4160","DOI":"10.1109\/JSTARS.2016.2522182","volume":"9","author":"E Zhang","year":"2016","unstructured":"Zhang E, Jiao L, Zhang X, Liu H, Wang S (2016) Class-level joint sparse representation for multifeature-based hyperspectral image classification. IEEE J Sel Top Appl Earth Obs Remote Sens 9(9):4160\u20134177","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"2867_CR36","doi-asserted-by":"crossref","first-page":"961","DOI":"10.3233\/IFS-141378","volume":"28","author":"Y Zheng","year":"2015","unstructured":"Zheng Y, Jeon B, Xu D, Wu Q, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy C-means algorithm. J Intell Fuzzy Syst 28:961\u2013973","journal-title":"J Intell Fuzzy Syst"},{"key":"2867_CR37","first-page":"1531","volume":"99","author":"Z Zhili","year":"2016","unstructured":"Zhili Z, Ching-Nung Y, Xingming S, Qi L, WU QJ (2016) Effective and efficient image copy detection with resistance to arbitrary rotation. IEICE Trans Inf Syst 99:1531\u20131540","journal-title":"IEICE Trans Inf Syst"},{"key":"2867_CR38","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1109\/LGRS.2014.2375188","volume":"12","author":"Z Zhong","year":"2015","unstructured":"Zhong Z, Fan B, Duan J, Wang L, Ding K, Xiang S et al (2015) Discriminant tensor spectral-spatial feature extraction for hyperspectral image classification. IEEE Geosci Remote Sens Lett 12:1028\u20131032","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"2867_CR39","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/TIFS.2016.2601065","volume":"12","author":"Z Zhou","year":"2017","unstructured":"Zhou Z, Wang Y, Wu QJ, Yang C-N, Sun X (2017) Effective and efficient global context verification for image copy detection. IEEE Trans Inf Forensics Secur 12:48\u201363","journal-title":"IEEE Trans Inf Forensics Secur"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-017-2867-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2867-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-017-2867-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T21:13:21Z","timestamp":1603142001000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-017-2867-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,13]]},"references-count":39,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,3]]}},"alternative-id":["2867"],"URL":"https:\/\/doi.org\/10.1007\/s00500-017-2867-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,13]]}}}