GSCA-UNet: Towards Automatic Shadow Detection in Urban Aerial Imagery with Global-Spatial-Context Attention Module

GSCA-UNet: Towards Automatic Shadow Detection in Urban Aerial Imagery with Global-Spatial-Context Attention Module

As an inevitable phenomenon in most optical remote-sensing images, the effect of shadows is prominent in urban scenes. Shadow detection is critical for exploiting shadows and recovering the distorted information. Unfortunately, in general, automatic shadow detection methods for urban aerial images c...

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Bibliographic Details
Main Authors: Yuwei Jin, Wenbo Xu, Zhongwen Hu, Haitao Jia, Xin Luo, Donghang Shao
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
urban aerial images
shadow detection
UNet
GSCA-UNet
global spatial contextual information
loss function
Online Access:https://www.mdpi.com/2072-4292/12/17/2864

Internet

https://www.mdpi.com/2072-4292/12/17/2864

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