Fusion of Aerial and Satellite Images for Automatic Extraction of Building Footprint Information Using Deep Neural Networks

Fusion of Aerial and Satellite Images for Automatic Extraction of Building Footprint Information Using Deep Neural Networks

The analysis of aerial and satellite images for building footprint detection is one of the major challenges in photogrammetry and remote sensing. This information is useful for various applications, such as urban planning, disaster monitoring, and 3D city modeling. However, it has become a significa...

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Bibliographic Details
Main Authors: Ehsan Haghighi Gashti, Hanieh Bahiraei, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Information
Subjects:
deep learning
semantic segmentation
U-Net
ResNet
Sentinel-2
Online Access:https://www.mdpi.com/2078-2489/16/5/380
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