Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction

Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction

Existing methods for building extraction from remotely sensed images strongly rely on aerial or satellite-based images with very high resolution, which are usually limited by spatiotemporally accessibility and cost. In contrast, relatively low-resolution images have better spatial and temporal avail...

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Bibliographic Details
Main Authors: Lixian Zhang, Runmin Dong, Shuai Yuan, Weijia Li, Juepeng Zheng, Haohuan Fu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
remote sensing imagery
building extraction
super-resolution
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/15/2872

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