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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Qinglie Yuan, Helmi Zulhaidi Mohd Shafri, Aidi Hizami Alias, Shaiful Jahari bin Hashim
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-06-01
Serier:	Remote Sensing
Fag:	building extraction multiscale feature fusion deep learning convolution neural network semantic segmentation
Online adgang:	https://www.mdpi.com/2072-4292/13/13/2473
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!