Semi-Supervised Adversarial Semantic Segmentation Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery

Semi-Supervised Adversarial Semantic Segmentation Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery

Semantic segmentation is a crucial approach for remote sensing interpretation. High-precision semantic segmentation results are obtained at the cost of manually collecting massive pixelwise annotations. Remote sensing imagery contains complex and variable ground objects and obtaining abundant manual...

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Bibliographic Details
Main Authors: Yalan Zheng, Mengyuan Yang, Min Wang, Xiaojun Qian, Rui Yang, Xin Zhang, Wen Dong
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
semantic segmentation
semi-supervised learning
transformer
adversarial learning
remote sensing
building extraction
Online Access:https://www.mdpi.com/2072-4292/14/8/1786

Internet

https://www.mdpi.com/2072-4292/14/8/1786

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