FMAM-Net: Fusion Multi-Scale Attention Mechanism Network for Building Segmentation in Remote Sensing Images

FMAM-Net: Fusion Multi-Scale Attention Mechanism Network for Building Segmentation in Remote Sensing Images

As the largest target in remote sensing images, buildings have important application value in urban planning and old city reconstruction. However, most networks have poor recognition ability on high resolution images, resulting in blurred boundaries in the segmented building maps. Then, the similari...

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Bibliographic Details
Main Authors: Huanran Ye, Run Zhou, Jianhao Wang, Zhiliang Huang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Remote sensing image
building segmentation
attention mechanism
feature refinement
encoder-decoder
Online Access:https://ieeexplore.ieee.org/document/9996387/

Internet

https://ieeexplore.ieee.org/document/9996387/

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