ENHANCING LAND COVER OBJECT CLASSIFICATION IN HYPERSPECTRAL IMAGERY THROUGH AN EFFICIENT SPECTRAL-SPATIAL FEATURE LEARNING APPROACH.

Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

The classification of land cover objects in hyperspectral imagery (HSI) has significantly advanced due to the development of convolutional neural networks (CNNs).However, challenges such as limited training data and high dimensionality negatively impact classification performance.Traditional CNN-based methods predominantly utilize 2D CNNs for featu

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Pengungkapan Marah di Jejaring Sosial

Abstract The aim of this Cyanocrylate Adhesive study was to determine the effect of the big five personality, social support, collectivism-individualism, and anonymity on expressing anger on social networking sites (SNS).This research used quantitative with multiple regression analysis methods.The samples in this study were 210 respondents who post

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