Multiscale Semantic Feature Optimization and Fusion Network for Building Extraction Using High-Resolution Aerial Images and LiDAR Data

Automatic building extraction has been applied in many domains. It is also a challenging problem because of the complex scenes and multiscale. Deep learning algorithms, especially fully convolutional neural networks (FCNs), have shown robust feature extraction ability than traditional remote sensing...

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Autors principals:	Qinglie Yuan, Helmi Zulhaidi Mohd Shafri, Aidi Hizami Alias, Shaiful Jahari bin Hashim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-06-01
Col·lecció:	Remote Sensing
Matèries:	building extraction multiscale feature fusion deep learning convolution neural network semantic segmentation
Accés en línia:	https://www.mdpi.com/2072-4292/13/13/2473
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