Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

Automatic extraction of building footprints from high-resolution satellite imagery has become an important and challenging research issue receiving greater attention. Many recent studies have explored different deep learning-based semantic segmentation methods for improving the accuracy of building...

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Bibliographic Details
Main Authors: Weijia Li, Conghui He, Jiarui Fang, Juepeng Zheng, Haohuan Fu, Le Yu
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Remote Sensing
Subjects:
building extraction
deep learning
semantic segmentation
data fusion
high-resolution satellite images
GIS data
Online Access:https://www.mdpi.com/2072-4292/11/4/403

Internet

https://www.mdpi.com/2072-4292/11/4/403

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