{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:11:01Z","timestamp":1743030661289,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811557873"},{"type":"electronic","value":"9789811557880"}],"license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-981-15-5788-0_69","type":"book-chapter","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T08:02:45Z","timestamp":1599552165000},"page":"737-746","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification"],"prefix":"10.1007","author":[{"family":"Krishnendu C. S.","sequence":"first","affiliation":[]},{"given":"V.","family":"Sowmya","sequence":"additional","affiliation":[]},{"given":"K. P.","family":"Soman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,9]]},"reference":[{"key":"69_CR1","unstructured":"Lodha, S.P., Kamlapur, S.M.: Dimensionality reduction techniques for hyperspectral images. Int. J. Appl. Innov. Eng. Manag. (IJAIEM) 3(10), 92\u201399 (2014)"},{"key":"69_CR2","doi-asserted-by":"crossref","unstructured":"Busto, P.P., Gall, J.: Open set domain adaptation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 754\u2013763 (2017)","DOI":"10.1109\/ICCV.2017.88"},{"key":"69_CR3","doi-asserted-by":"crossref","unstructured":"Gretton, A., Borgwardt, K., Rasch, M., Scholkopf, B., Smola, A.J.: A kernel method for the two-sample-problem. In: Advances in Neural Information Processing Systems, pp. 513\u2013520 (2007)","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"69_CR4","doi-asserted-by":"crossref","unstructured":"Saito, K., Yamamoto, S., Ushiku, Y., Harada, T.: Open set domain adaptation by backpropagation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 153\u2013168 (2018)","DOI":"10.1007\/978-3-030-01228-1_10"},{"key":"69_CR5","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"issue":"3","key":"69_CR6","doi-asserted-by":"publisher","first-page":"248","DOI":"10.7763\/IJMLC.2012.V2.124","volume":"2","author":"K Koonsanit","year":"2012","unstructured":"Koonsanit, K., Jaruskulchai, C., Eiumnoh, A.: Band selection for dimension reduction in hyper spectral image using integrated information gain and principal components analysis technique. Int. J. Mach. Learn. Comput. 2(3), 248 (2012)","journal-title":"Int. J. Mach. Learn. Comput."},{"key":"69_CR7","unstructured":"Fukunaga, K.: Introduction to Statistical Pattern Recognition. Elsevier, San Diego (2013)"},{"key":"69_CR8","volume-title":"Dimension reduction on hyperspectral images","author":"M Fong","year":"2007","unstructured":"Fong, M.: Dimension reduction on hyperspectral images. Univ. California, Los Angeles, CA (2007)"},{"key":"69_CR9","doi-asserted-by":"crossref","unstructured":"Megha, P., Sowmya, V., Soman, K.P.: Effect of dynamic mode decomposition-based dimension reduction technique on hyperspectral image classification. In: Computational Signal Processing and Analysis, pp. 89\u201399. Springer, New York (2018)","DOI":"10.1007\/978-981-10-8354-9_9"},{"key":"69_CR10","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1007\/978-981-13-5758-9_22","volume-title":"Advances in Signal Processing and Intelligent Recognition Systems","author":"KS Charmisha","year":"2019","unstructured":"Charmisha, K.S., Sowmya, V., Soman, K.P.: Dimensionality reduction by dynamic mode decomposition for hyperspectral image classification using deep learning and kernel methods. In: Thampi, S.M., Marques, O., Krishnan, S., Li, K.-C., Ciuonzo, D., Kolekar, M.H. (eds.) Advances in Signal Processing and Intelligent Recognition Systems, pp. 256\u2013267. Springer, Singapore (2019)"},{"key":"69_CR11","doi-asserted-by":"crossref","unstructured":"Bendale, A., Boult, T.E.: Towards open set deep networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1563\u20131572 (2016)","DOI":"10.1109\/CVPR.2016.173"},{"key":"69_CR12","doi-asserted-by":"crossref","unstructured":"Bharath Bhushan, D., Sowmya, V., Sabarimalai Manikandan, M., Soman, KP.: An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery. In: 2011 International Symposium on Ocean Electronics, pp. 34\u201339. IEEE (2011)","DOI":"10.1109\/SYMPOL.2011.6170495"},{"key":"69_CR13","unstructured":"U del Pais Vasco. http:\/\/www.ehu.es\/ccwintco\/index.php\/hyperspectral-remotesensing-scenes . Accessed 25 Aug 2012"}],"container-title":["Advances in Intelligent Systems and Computing","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5788-0_69","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T01:00:30Z","timestamp":1696640430000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5788-0_69"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,9]]},"ISBN":["9789811557873","9789811557880"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5788-0_69","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,9,9]]},"assertion":[{"value":"9 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}