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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Huvudupphovsmän: Yan Meng, Shanxiong Chen, Yuxuan Liu, Li Li, Zemin Zhang, Tao Ke, Xiangyun Hu
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2022-04-01
Serie:Remote Sensing
Ämnen:
vegetation detection
LiDAR point clouds
remote sensing images
image segmentation
automatic building extraction
Länkar:https://www.mdpi.com/2072-4292/14/8/1912
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