Low-Cost Optimized U-Net Model with GMM Automatic Labeling Used in Forest Semantic Segmentation

Currently, Convolutional Neural Networks (CNN) are widely used for processing and analyzing image or video data, and an essential part of state-of-the-art studies rely on training different CNN architectures. They have broad applications, such as image classification, semantic segmentation, or face...

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Autors principals:	Alexandru-Toma Andrei, Ovidiu Grigore
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-11-01
Col·lecció:	Sensors
Matèries:	Convolutional Neuronal Network semantic segmentation Gaussian Mixture Model computer vision aerial imagery U-Net
Accés en línia:	https://www.mdpi.com/1424-8220/23/21/8991
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