Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint

Accurate building extraction from remotely sensed data is difficult to perform automatically because of the complex environments and the complex shapes, colours and textures of buildings. Supervised deep-learning-based methods offer a possible solution to solve this problem. However, these methods g...

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Detaylı Bibliyografya
Asıl Yazarlar: Yan Meng, Shanxiong Chen, Yuxuan Liu, Li Li, Zemin Zhang, Tao Ke, Xiangyun Hu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2022-04-01
Seri Bilgileri:Remote Sensing
Konular:
vegetation detection
LiDAR point clouds
remote sensing images
image segmentation
automatic building extraction
Online Erişim:https://www.mdpi.com/2072-4292/14/8/1912
Etiketler: Etiketle
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