Building Extraction from Very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection

Building Extraction from Very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection

The automated detection of buildings in remote sensing images enables understanding the distribution information of buildings, which is indispensable for many geographic and social applications, such as urban planning, change monitoring and population estimation. The performance of deep learning in...

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Bibliographic Details
Main Authors: Liegang Xia, Xiongbo Zhang, Junxia Zhang, Haiping Yang, Tingting Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
semi-supervised
semantic edge detection
building extraction
deep learning
very-high-resolution image
Online Access:https://www.mdpi.com/2072-4292/13/11/2187

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