An approach for building rooftop border extraction from very high-resolution satellite images-Reference-Cited by-同舟云学术

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An approach for building rooftop border extraction from very high-resolution satellite images

Published:2021-03-01 Issue: Volume: Page:1-14
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Mostafa Yasser¹^ORCID,Ali Mahmoud Nokrashy O.²,Mostafa Faten¹,Yousef Mohamed³

Affiliation:

1. Civil Engineering Department, Faculty of Engineering, Sohag University, Sohag, Egypt

2. Civil Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt

3. Mining and Metallurgical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1892207

Reference29 articles.

1. Unsupervised building detection in complex urban environments from multispectral satellite imagery

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1. Building Footprint Extraction from Remote Sensing Images with Residual Attention Multi-Scale Aggregation Fully Convolutional Network;Journal of the Indian Society of Remote Sensing;2024-07-31

2. LAND USE LAND COVER CHANGE MAPPING FROM SENTINEL 1B < 2A IMAGERY USING RANDOM FOREST ALGORITHM IN CÔTE D’IVOIRE;Geodesy and cartography;2024-04-15

3. Unrestricted region and scale: Deep self-supervised building mapping framework across different cities from five continents;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03

4. An Intelligent Method Based on Time–Frequency Analysis and Deep Learning Semantic Segmentation for Investigating the Electromagnetic Pulse Features of Engine Digital Controllers;IEEE Transactions on Electromagnetic Compatibility;2023-02

5. Rooftop extraction method for high spatial resolution remote sensing image based on sparse representation;International Journal of Remote Sensing;2023-02-01

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