Improved Pseudomasks Generation for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Imagery

Improved Pseudomasks Generation for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Imagery

Benefiting from free labeling pixel-level samples, weakly supervised semantic segmentation (WSSS) is making progress in automatically extracting building from high-resolution (HR) remote sensing (RS) imagery. For WSSS methods, generating high-quality pseudomasks is crucial for accurate building extr...

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Bibliographic Details
Main Authors: Fang Fang, Daoyuan Zheng, Shengwen Li, Yuanyuan Liu, Linyun Zeng, Jiahui Zhang, Bo Wan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adversarial climbing (AC)
building extraction
gated convolution
high-resolution (HR) remote sensing (RS) imagery
weakly supervised semantic segmentation (WSSS)
Online Access:https://ieeexplore.ieee.org/document/9684996/

Internet

https://ieeexplore.ieee.org/document/9684996/

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