Shift Pooling PSPNet: Rethinking PSPNet for Building Extraction in Remote Sensing Images from Entire Local Feature Pooling

Building extraction by deep learning from remote sensing images is currently a research hotspot. PSPNet is one of the classic semantic segmentation models and is currently adopted by many applications. Moreover, PSPNet can use not only CNN-based networks but also transformer-based networks as backbo...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Wei Yuan, Jin Wang, Wenbo Xu
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Subjects:	building extraction deep learning improved PSPNet shift pooling remote sensing image
Online Access:	https://www.mdpi.com/2072-4292/14/19/4889