Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network

Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network

Building extraction from high spatial resolution remote sensing images is a hot spot in the field of remote sensing applications and computer vision. This paper presents a semantic segmentation model, which is a supervised method, named Pyramid Self-Attention Network (PISANet). Its structure is simp...

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Bibliographic Details
Main Authors: Dengji Zhou, Guizhou Wang, Guojin He, Tengfei Long, Ranyu Yin, Zhaoming Zhang, Sibao Chen, Bin Luo
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
building extraction
high resolution image
semantic segmentation
deep learning
Online Access:https://www.mdpi.com/1424-8220/20/24/7241

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