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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
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Zümray Ölmez Tam metin bildiri
DIMENSION REDUCTION WITH PRINCIPAL COMPONENT ANALYSIS IN HYPERSPECTRAL IMAGE CLASSIFICATION USING MACHINE LEARNING
The 43rd Asian Conference on Remote Sensing 2022, Ulaanbaatar/MOĞOLİSTAN, 4 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 Tam metin 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, Vol. 643, Ocak 2023, s. 244-256, ISSN: 2367-3389
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Zümray Ölmez Özgün Makale
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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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
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, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
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
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
Gülşen Taşkın Kaya Özgün Makale
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
Gülşen Taşkın Kaya Özgün Makale
A Model Distillation Approach for Explaining Black-Box Models for Hyperspectral Image Classification
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 17 Temmuz 2022
TAŞKIN KAYA GÜLŞEN
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