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SIGNAL IMAGE AND VIDEO PROCESSING, Vol. 16, No. 4, Ocak 2022, s. 7, ISSN: 1863-1703
KORKMAZ ÖZAY EVRİM, TUNGA BURCU
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Hyperspectral Image Classification by Multi-Scale Vector Tunnel
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DEMİRCİ SÜLEYMAN,ERER IŞIN,ERSOY OKAN
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Active Manifold Learning for Hyperspectral Image Classification
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ZHANG ZHOU,TAŞKIN KAYA GÜLŞEN,CRAWFORD MELBA
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Use of high dimensional model representation in dimensionality reduction application to hyperspectral image classification
SPIE, 15 Nisan 2016
TAŞKIN KAYA GÜLŞEN
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An experimental analysis of feature selection algorithms in hyperspectral image classification
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2017
HAMED GHOLAMI VIJOUYEH
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Hyperspectral image compression using graph signal processingand wavelet-based spectral decorrelation
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
INDRIT NALLBANI
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Hyperspectral image compression using sparse representations and wavelet transform based spectral decorrelation
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2017
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Tridiagonal Folmat Enhanced Multivariance Products Representation Based Hyperspectral Data Compression
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Sparse coding of hyperspectral imagery using online learning
Signal Image and Video Processing, Vol. 9, No. 4, Şubat 2015, s. 959-966, ISSN: 1863-1703
ÜLKÜ İREM,TÖREYİN BEHÇET UĞUR
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Sparse representations for online learning based hyperspectral image compression
Applied Optics, Vol. 54, No. 29, Ekim 2015, s. 8625, ISSN: 0003-6935
ÜLKÜ İREM,TÖREYİN BEHÇET UĞUR
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Merging hyperspectral and panchromatic image data Qualitative and quantitative analysis
INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol. 30, No. 7, 2009, s. 1779-1804
ÇETİN MÜFİT,MUSAOĞLU NEBİYE
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
The International Conference on Computing, Intelligence and Data Analytics, Kocaeli/TÜRKİYE, 16 Eylül 2022
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
Lecture Notes in Networks and Systems, Mart 2023, ISSN: ISSN 2367-3370
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
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PRINCIPAL COMPONENT ANALYSIS APPROACH IN HYPERSPECTRAL IMAGE CLASSIFICATION WITH MACHINE LEARNING METHODS
International Symposium on Applied Geoinformatics 2021, Riga/LİTVANYA, 2 Aralık 2021
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Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
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Comparison of small-sized deep neural network models for hyperspectral image classification
International Conference on Computing, Intelligence and Data Analytics – ICCIDA, Kocaeli/TÜRKİYE, 16 Eylül 2022
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
Lecture Notes in Networks and Systems, Vol. 643, Ocak 2023, s. 244-256, ISSN: 2367-3389
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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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Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, Ocak 2022, ISSN: 0196-2892
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A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
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