Browsing Meslek Yüksekokulları by Subject "Depthwise separable convolution"
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Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN
(Elsevier, 2022)The high dimensionality of hyperspectral remote sensing images (HRSI) affects the classification performance. Therefore, most HRSI classification methods use dimension reduction methods as a solution for high dimensionality. ... -
Deep learning-based classification of mature and immature lavender plants using UAV orthophotos and a hybrid CNN approach
(Springer Science and Business Media Deutschland GmbH, 2023)The classification of vegetation types worldwide plays a significant role in studies involving remote sensing. This method, used notably in agriculture, aids producers in devising more efficient agricultural management ... -
Hiperspektral görüntü sınıflandırması için derinlemesine ayrılabilir evrişim tabanlı artık ağ mimarisi
(Gazi Üniversitesi, 2022)Hiperspektral uzaktan algılama görüntüleri (HUAG), yüzlerce spektral bant içeren ve iki uzamsal-bir spektral boyuta sahip 3B görüntü küpleridir. Sınıflandırma, HUAG’de en popüler konulardan biridir. Son yıllarda HUAG ... -
Hyperspectral image classification method based on squeeze-and-excitation networks, depthwise separable convolution and multibranch feature fusion
(Springer Science and Business Media, 2023)Hyperspectral image classification (HSIC) is a hot topic discussed by most researchers. In recent years, deep learning and especially CNN have provided very good results in HSIC. However, there is still a need to develop ...
