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Active Manifold Learning for Hyperspectral Image Classification
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Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2017
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INDRIT NALLBANI
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An experimental analysis of feature selection algorithms in hyperspectral image classification
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HAMED GHOLAMI VIJOUYEH
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Merging hyperspectral and panchromatic image data Qualitative and quantitative analysis
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Unsupervised classification of hyperspectral images using an Adaptive Vector Tunnel classifier
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Sparse coding of hyperspectral imagery using online learning
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Applied Optics, Vol. 54, No. 29, Ekim 2015, s. 8625, ISSN: 0003-6935
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A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy/TÜRKİYE, 26 Temmuz 2015
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Recursive feature selection based on non parallel SVMs and its application to hyperspectral image classification
2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC/TÜRKİYE, 13 Temmuz 2014
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2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
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A comprehensive evaluation of feature selection algorithms in hyperspectral image classification
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
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SVM parameter selection based on harmony search with an application to hyperspectral image classification
2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey/TÜRKİYE, 16 Mayıs 2016
CEYLAN OĞUZHAN,TAŞKIN KAYA GÜLŞEN
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The 43rd Asian Conference on Remote Sensing 2022, Ulaanbaatar/MOĞOLİSTAN, 4 Ekim 2022
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Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
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