3D residual spatial-spectral convolution network for hyperspectral remote sensing image classification. - Hüseyin Firat; Mehmet Emin Asker; Mehmet Ílyas Bayindir; Davut Hanbay (Neural Comput. Appl., 2023)

Hybrid 3D/2D Complete Inception Module and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification. - Hüseyin Firat; Mehmet Emin Asker; Mehmet Ílyas Bayindir; Davut Hanbay (Neural Process. Lett., 2023)

Hyperspectral image classification method based on squeeze-and-excitation networks, depthwise separable convolution and multibranch feature fusion. - Mehmet Emin Asker (Earth Sci. Informatics, 2023)

A hybrid approach consisting of 3D depthwise separable convolution and depthwise squeeze-and-excitation network for hyperspectral image classification. - Mehmet Emin Asker; Mustafa Güngör (Earth Sci. Informatics, 2024)