Empowering intermediate cities: cost-effective heritage preservation through satellite remote sensing and deep learning-Reference-Cited by-同舟云学术

Empowering intermediate cities: cost-effective heritage preservation through satellite remote sensing and deep learning

Published:2024-06-12 Issue:12 Volume:45 Page:4046-4074
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Rodríguez-Antuñano I.¹^ORCID,Sousa Joaquim J.²³,Bakoň M.⁴,Ruiz-Armenteros A. M.⁵⁶⁷,Martínez-Sánchez J.¹^ORCID,Riveiro B.¹^ORCID

Affiliation:

1. CINTECX, Universidade de Vigo, GeoTECH Group, Vigo, Spain

2. Technology and Science INESC-TEC, Institute for Systems and Computer Engineering, Porto, Portugal

3. Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

4. Department of Finance, Accounting and Mathematical Methods, Faculty of Management and Business, University of Presov, Presov, Slovakia

5. Department of Cartographic, Geodetic and Photogrammetry Engineering, University of Jaén, Jaén, Spain

6. Centre for Advanced Studies in Earth Sciences, Energy and Environment (CEACTEMA), University of Jaén, Jaén, Spain

7. Research Group RNM–282 Microgeodesia Jaén, University of Jaén, Jaén, Spain

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2358544

Reference54 articles.

1. REPEAT-PASS INTERFEROMETRIC AND BACKSCATTER ANALYSIS OF X-BAND PAZ SATELLITE – FIRST RESULTS

2. Introduction

3. Preserving heritage places under a new paradigm

4. “Artificial Intelligence for Earth Monitoring MOOC — Copernicus Land Monitoring Service.” n.d. Accessed July 10 2023. https://land.copernicus.eu/user-corner/events/artificial-intelligence-for-earth-monitoring-mooc.

5. Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview