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Hyperspectral Image Classification by Multi-Scale Vector Tunnel
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), Trabzon/TÜRKİYE, No. null, 23 Nisan 2014, s. 1162-1167
DEMİRCİ SÜLEYMAN,ERER IŞIN,ERSOY OKAN
HYPERSPECTRAL IMAGE CLASSIFICATION WITH BAGGING AND BOOSTING ENSEMBLE METHODS
The 9th International Conference on Cartography and GIS, Nessebar/BULGARİSTAN, 16 Haziran 2024
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri
Active Manifold Learning for Hyperspectral Image Classification
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 22 Temmuz 2018
ZHANG ZHOU,TAŞKIN KAYA GÜLŞEN,CRAWFORD MELBA
Gülşen Taşkın Kaya Tam metin bildiri
Use of high dimensional model representation in dimensionality reduction application to hyperspectral image classification
SPIE, 15 Nisan 2016
TAŞKIN KAYA GÜLŞEN
Gülşen Taşkın Kaya Tam metin bildiri
An experimental analysis of feature selection algorithms in hyperspectral image classification
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2017
HAMED GHOLAMI VIJOUYEH
Gülşen Taşkın Kaya Tez Yüksek Lisans Tamamlandı
Unsupervised classification of hyperspectral images using an Adaptive Vector Tunnel classifier
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVIII, Vol. 8537, No. null, 24 Eylül 2012
DEMİRCİ SÜLEYMAN,ERER IŞIN
A new feature extraction scheme based on support optimization in Enhanced Multivariance Products Representation for Hyperspectral Imagery
Journal of the Franklin Institute, Vol. 362, No. 2, Ocak 2025, ISSN: 0016-0032
ŞEN MUHAMMED ENİS,TUNA SÜHA
Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
Journal of Applied Remote Sensing, Vol. 18, No. 4, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
Muhammed Enes Atik Özgün Makale
Dual-stream spectral-spatial convolutional neural network for hyperspectral image classification and optimal band selection
Advances in Space Research, Vol. 74, No. 5, Eylül 2024, s. 2025-2041, ISSN: 0273-1177
ATİK ŞAZİYE ÖZGE
Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
Journal of Applied Remote Sensing, Vol. 18, No. 4, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
DIMENSION REDUCTION WITH PRINCIPAL COMPONENT ANALYSIS IN HYPERSPECTRAL IMAGE CLASSIFICATION USING MACHINE LEARNING
The 43rd Asian Conference on Remote Sensing 2022, Ulaanbaatar/MOĞOLİSTAN, 3 Ekim 2022
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri
PRINCIPAL COMPONENT ANALYSIS APPROACH IN HYPERSPECTRAL IMAGE CLASSIFICATION WITH MACHINE LEARNING METHODS
International Symposium on Applied Geoinformatics 2021, Riga/LİTVANYA, 2 Aralık 2021
ATİK ŞAZİYE ÖZGE, ATİK MUHAMMED ENES
Şaziye Özge Atik Özet Bildiri
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
Gülşen Taşkın Kaya Tam metin bildiri
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
Tamer Ölmez Özgün Makale
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
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Zümray Ölmez Özgün Makale
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
PRINCIPAL COMPONENT ANALYSIS APPROACH IN HYPERSPECTRAL IMAGE CLASSIFICATION WITH MACHINE LEARNING METHODS
International Symposium on Applied Geoinformatics 2021, Riga/LİTVANYA, 2 Aralık 2021
ATİK ŞAZİYE ÖZGE, ATİK MUHAMMED ENES
Muhammed Enes Atik Özet Bildiri
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
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Tamer Ölmez Tam metin bildiri
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
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Zümray Ölmez Tam metin bildiri
A comparative analysis of classification methods for hyperspectral images generated with conventional dimension reduction methods
Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 25, No. 1, Ocak 2017, s. 58-72, ISSN: 1300-0632
ARSLAN OZAN,AKYÜREK ÖZER,KAYA ŞİNASİ

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