Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN

Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN

Remote sensing building extraction is of great importance to many applications, such as urban planning and economic status assessment. Deep learning with deep network structures and back-propagation optimization can automatically learn features of targets in high-resolution remote sensing images. Ho...

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Bibliographic Details
Main Authors: Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu, Xiaolei Liu, Yuwei Zhang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
building extraction
GF-2
orthogonal generative adversarial networks
subdivision
Online Access:https://www.mdpi.com/2072-4292/13/3/475

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