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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Attribute Profiles in Earthquake Damage Identification from Very High Resolution Post Event Image
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 28 Temmuz 2019
ALATAS ENES OGUZHAN,TAŞKIN KAYA GÜLŞEN
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Damage Assessment of 2010 Haiti Earthquake with Post Earthquake Satellite Image by Support Vector Selection and Adaptation
Photogrammetric Engineering Remote Sensing, Vol. 77, No. 10, Ekim 2011, s. 1025-1035, ISSN: 00991112
TAŞKIN KAYA GÜLŞEN,MUSAOĞLU NEBİYE,ERSOY OKAN K
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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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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
TAŞKIN KAYA GÜLŞEN, CAMPS-VALLS GUSTAU
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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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Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images
IEEE Transactions on Image Processing, Vol. 26, No. 6, Haziran 2017, s. 2918-2928, ISSN: 1057-7149
TAŞKIN KAYA GÜLŞEN,KAYA HÜSEYİN,BRUZZONE LORENZO
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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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An Out-of-Sample Extension to Manifold Learning via Meta-Modeling
IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 28, No. 10, Ekim 2019, s. 5227-5237, ISSN: 1057-7149
TAŞKIN KAYA GÜLŞEN,CRAWFORD MELBA
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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 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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A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (WHISPERS), 30 Ekim 2023
TAŞKIN KAYA GÜLŞEN, YETKİN EMRULLAH FATİH, CAMPS-VALLS GUSTAU
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An Adaptive Affinity Matrix Optimization for Locality-Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Ocak 2019, s. 1-10, ISSN: 1939-1404
TAŞKIN KAYA GÜLŞEN,CEYLAN OĞUZHAN
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A comprehensive analysis of earthquake damage patterns using high dimensional model representation feature selection
SPIE Remote Sensing:Image and Signal Processing for Remote Sensing, Vol. 8892, 23 Eylül 2013
TAŞKIN KAYA GÜLŞEN
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An earthquake damage identification approach from VHR image using mathematical morphology and machine learning
Springer Science and Business Media LLC, Vol. 34, Haziran 2022, ISSN: 0941-0643
ALATAŞ ENES OĞUZHAN, TAŞKIN KAYA GÜLŞEN
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Comparison of Retinal Image Vessel Segmentation Using Learning Techniques
IV. International Bioengineering Conference (BIOENG'16), 23 Eylül 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
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An Investigation of Digital Image Processing DIP Method for Analysis of Grade of Feldspar Ore Based on Color Differences
6th INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN THE MINERALS INDUSTRIES, İstanbul/TÜRKİYE, 5 Ekim 2016
ÖZDEMİR ORHAN,KURŞUN İLGİN,TERZİ MERT,YILMAZ K
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Digital image processing (DIP) application on the evaluation of iron-rich heavy mineral concentrates produced from river sand using a sequential mineral processing approach
PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING, Vol. 57, No. 3, Mart 2021, s. 21-35, ISSN: 1643-1049
TERZİ MERT, KURŞUN İLGİN, ÇINAR MUSTAFA, ÖZDEMİR ORHAN
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Pigment Boundary and Depth Determination Technique for Photoacoustic Microscopy Image of Tissue
30th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2022
KÖKSAL SILA, ERGÜVEN BAŞAK ZEYNEP, GÜZEL ALP, ÖZDEMİR ÖZGÜR
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