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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
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
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
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 Tam metin bildiri
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
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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