Weakly-Supervised Domain Adaptation With Adversarial Entropy for Building Segmentation in Cross-Domain Aerial Imagery

Weakly-Supervised Domain Adaptation With Adversarial Entropy for Building Segmentation in Cross-Domain Aerial Imagery

Building segmentation is a classical and challenging task in high-resolution remote sensing imagery. This approach has achieved remarkable performance based on a fully convolutional network with adequate pixel-wise annotations. However, due to differences in sensor technology as well as appearance i...

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Bibliographic Details
Main Authors:	Xuedong Yao, Yandong Wang, Yanlan Wu, Zeyu Liang
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Adversarial learning building segmentation domain adaptation (DA) high resolution self-training
Online Access:	https://ieeexplore.ieee.org/document/9517002/

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