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Use of high dimensional model representation in dimensionality reduction application to hyperspectral image classification
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Active Manifold Learning for Hyperspectral Image Classification
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 22 Temmuz 2018
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Macroblock Data Classification and Nonlinear Bit Count Estimation for Low Delay H 263 Rate Control
Proceedings IEEE International Conference on Image Processing, Ekim 1999
BAYAZIT ULUĞ
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Preliminary Results of Earthquake Induced Building Damage Detection with Object Based Image Classification
XXIII ISPRS Congress2016, Prag/ÇEK CUMHURİYETİ, 12 Temmuz 2016
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Benchmark of Machine Learning Methods for Classification of a SENTINEL 2 Image
XXIII ISPRS Congress 2016, 9 Temmuz 2016
PİROTTİ FRANCESCO,SUNAR AYŞE FİLİZ,PİRAGNOLO MARCO
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Random forest classification of tomato fields with planet satellite image data and accuracy assessment
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
BETÜL ŞALLI
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Dictionary ensemble based active learning for multiple instance image classification
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Compressed Domain Image Classification With Sub-Band Data Fusion
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
BERK ARICAN
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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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A comprehensive evaluation of feature selection algorithms in hyperspectral image classification
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
VİJOUYEH HAMED,TAŞKIN KAYA GÜLŞEN
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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
TAŞKIN KAYA GÜLŞEN,TORUN YÜCEL,KÜÇÜK ÇAĞLAR
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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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Remote sensing image classification by non parallel SVMs
2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC/KANADA, 13 Temmuz 2014, s. 1269-1272
CAGLAR KUCUK,TORUN YÜCEL,TAŞKIN KAYA GÜLŞEN
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A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 Temmuz 2016
CEYLAN OĞUZHAN,TAŞKIN KAYA GÜLŞEN
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A comprehensive analysis of twin support vector machines in remote sensing image classification
2015 23nd Signal Processing and Communications Applications Conference (SIU), 16 Mayıs 2015
TAŞKIN KAYA GÜLŞEN
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INTERPRETING HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION METHODS VIA EXPLAINABLE ARTIFICIAL INTELLIGENCE
The International Geoscience and Remote Sensing Symposium (IGARSS), 16 Temmuz 2023
TURAN DEREN EGE, APTOULA ERCHAN, ERTÜRK ALP, TAŞKIN KAYA GÜLŞEN
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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
TAŞKIN KAYA GÜLŞEN,KAYA HÜSEYİN,LORENZO BRUZZONE
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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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Earthquake induced damage classification from postearthquake satellite image using spectral and spatial features with support vector selection and adaptation
Journal of Applied Remote Sensing, Vol. 9, No. 1, Ağustos 2015, s. 1-20, ISSN: 1931-3195
TAŞKIN GÜLŞEN,ERSOY OKAN K,KAMAŞAK MUSTAFA ERSEL
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