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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Podrobná bibliografie

Hlavní autoři:	Fang Fang, Daoyuan Zheng, Shengwen Li, Yuanyuan Liu, Linyun Zeng, Jiahui Zhang, Bo Wan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Adversarial climbing (AC) building extraction gated convolution high-resolution (HR) remote sensing (RS) imagery weakly supervised semantic segmentation (WSSS)
On-line přístup:	https://ieeexplore.ieee.org/document/9684996/
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