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Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features
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E. Kanalici And G. BİLGİN, "Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features," Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019) , Prague, Czech Republic, pp.66-70, 2019

Kanalici, E. And BİLGİN, G. 2019. Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features. Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019) , (Prague, Czech Republic), 66-70.

Kanalici, E., & BİLGİN, G., (2019). Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features . Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019) (pp.66-70). Prague, Czech Republic

Kanalici, Evren, And Gökhan BİLGİN. "Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features," Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019), Prague, Czech Republic, 2019

Kanalici, Evren And BİLGİN, Gökhan. "Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features." Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019) , Prague, Czech Republic, pp.66-70, 2019

Kanalici, E. And BİLGİN, G. (2019) . "Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features." Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019) , Prague, Czech Republic, pp.66-70.

@conferencepaper{conferencepaper, author={Evren Kanalici And author={Gökhan BİLGİN}, title={Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features}, congress name={Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis (ICGDA 2019)}, city={Prague}, country={Czech Republic}, year={2019}, pages={66-70} }