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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Malraux and Gary Mythomaniacs

Mythomania is not an isolated pathology in psychiatry: it is mixed with other mental disorders.It is not always easy to assess their seriousness or to differentiate them from banal lies; when someone invents a life other than his own without realizing it, he can be called a Grill / Griddle Screens mythomaniac.Autobiographical literature contains ma

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