{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T05:27:50Z","timestamp":1746768470786,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685472"},{"type":"electronic","value":"9783319685489"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68548-9_17","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T13:05:13Z","timestamp":1507813513000},"page":"180-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data"],"prefix":"10.1007","author":[{"given":"Evgeny","family":"Myasnikov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-03978-6","volume-title":"Remote Sensing Digital Image Analysis: An Introduction","author":"JA Richards","year":"1999","unstructured":"Richards, J.A., Jia, X., Ricken, D.E., Gessner, W.: Remote Sensing Digital Image Analysis: An Introduction. Springer, New York Inc. (1999)"},{"issue":"6","key":"17_CR2","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1109\/TGRS.2005.863297","volume":"44","author":"J Wang","year":"2006","unstructured":"Wang, J., Chang, C.-I.: Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis. IEEE Trans. Geosci. Remote Sens. 44(6), 1586\u20131600 (2006)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"17_CR3","doi-asserted-by":"publisher","first-page":"2786","DOI":"10.1109\/TGRS.2006.881801","volume":"44","author":"CM Bachmann","year":"2006","unstructured":"Bachmann, C.M., Ainsworth, T.L., Fusina, R.A.: Improved manifold coordinate representations of large-scale hyperspectral scenes. IEEE Trans. Geosci. Remote Sens. 44(10), 2786\u20132803 (2006)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"17_CR4","unstructured":"Kim, D.H., Finkel, L.H.: Hyperspectral image processing using locally linear embedding. In: First International IEEE EMBS Conference on Neural Engineering, pp. 316\u2013319 (2003)"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Doster, T., Olson, C.C.: Building robust neighborhoods for manifold learning-based image classification and anomaly detection. In: Proceedings SPIE, vol. 9840, p. 984015 (2016)","DOI":"10.1117\/12.2227224"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Myasnikov, E.V.: Nonlinear mapping methods with adjustable computational complexity for hyperspectral image analysis. In: Proceedings of the SPIE, vol. 9875, p. 987508 (2015)","DOI":"10.1117\/12.2228831"},{"issue":"5","key":"17_CR7","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1109\/T-C.1969.222678","volume":"18","author":"JW Sammon","year":"1969","unstructured":"Sammon, J.W.: A nonlinear mapping for data structure analysis. IEEE Trans. Comput. 18(5), 401\u2013409 (1969)","journal-title":"IEEE Trans. Comput."},{"issue":"16","key":"17_CR8","doi-asserted-by":"publisher","first-page":"3870","DOI":"10.1080\/01431161.2016.1204032","volume":"37","author":"L Wang","year":"2016","unstructured":"Wang, L., Shi, C., Diao, C., Ji, W., Yin, D.: A survey of methods incorporating spatial information in image classification and spectral unmixing. Int. J. Remote Sens. 37(16), 3870\u20133910 (2016)","journal-title":"Int. J. Remote Sens."},{"key":"17_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1007\/978-3-319-41501-7_31","volume-title":"Image Analysis and Recognition","author":"E Myasnikov","year":"2016","unstructured":"Myasnikov, E.: Evaluation of stochastic gradient descent methods for nonlinear mapping of hyperspectral data. In: Campilho, A., Karray, F. (eds.) ICIAR 2016. LNCS, vol. 9730, pp. 276\u2013283. Springer, Cham (2016). doi:10.1007\/978-3-319-41501-7_31"},{"key":"17_CR10","unstructured":"Hyperspectral Remote Sensing Scenes. http:\/\/www.ehu.eus\/ccwintco\/index.php?title=Hyperspectral_Remote_Sensing_Scenes"},{"issue":"6","key":"17_CR11","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1109\/JSTSP.2015.2413371","volume":"9","author":"C Cariou","year":"2015","unstructured":"Cariou, C., Chehdi, K.: Unsupervised nearest neighbors clustering with application to hyperspectral images. IEEE J. Select. Top. Sig. Process. 9(6), 1105\u20131116 (2015)","journal-title":"IEEE J. Select. Top. Sig. Process."},{"key":"17_CR12","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"SP Lloyd","year":"1982","unstructured":"Lloyd, S.P.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28, 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"17_CR13","unstructured":"David, A., Vassilvitskii, S.: K-means++: the advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027\u20131035 (2007)"},{"issue":"336","key":"17_CR14","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand, W.M.: Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66(336), 846\u2013850 (1971)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68548-9_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:38:11Z","timestamp":1709811491000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68548-9_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685472","9783319685489"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68548-9_17","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":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}