ESFNet: Efficient Network for Building Extraction From High-Resolution Aerial Images

ESFNet: Efficient Network for Building Extraction From High-Resolution Aerial Images

Building footprint extraction from high-resolution aerial images is always an essential part of urban dynamic monitoring, planning, and management. It has also been a challenging task in remote sensing research. In recent years, deep neural networks have made great achievement in improving the accur...

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Bibliographic Details
Main Authors: Jingbo Lin, Weipeng Jing, Houbing Song, Guangsheng Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Building extraction
deep learning
efficient neural networks
remote sensing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/8695839/

Internet

https://ieeexplore.ieee.org/document/8695839/

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