End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

Change detection (CD) is essential to the accurate understanding of land surface changes using available Earth observation data. Due to the great advantages in deep feature representation and nonlinear problem modeling, deep learning is becoming increasingly popular to solve CD tasks in remote-sensi...

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Bibliographic Details
Main Authors: Daifeng Peng, Yongjun Zhang, Haiyan Guan
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
change detection
deep learning
end-to-end
encoder-decoder architecture
feature maps
multiple side-outputs fusion
Online Access:https://www.mdpi.com/2072-4292/11/11/1382

Internet

https://www.mdpi.com/2072-4292/11/11/1382

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