Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping-Reference-Cited by-同舟云学术

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Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Meshkini Khatereh¹^ORCID,Solano-Correa Yady Tatiana²^ORCID,Bovolo Francesca¹^ORCID,Bruzzone Lorenzo³^ORCID

Affiliation:

1. Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy

2. Facultad de Ciencias Básicas, Universidad Tecnológica de Bolívar, Cartagena, Colombia

3. Department of Information Engineering and Computer Science Trento, University of Trento, Trento, Italy

Funder

European Space Agency (ESA) Climate Change Initiative (CCI+) New Essential Climate Variables (ECVs) High Resolution Land Cover

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10605841.pdf?arnumber=10605841

Reference43 articles.

1. Near real-time disturbance detection using satellite image time series

2. Continuous monitoring of forest change dynamics with satellite time series

3. Detection of impervious surface change with multitemporal Landsat images in an urban–rural frontier

4. Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies

5. A 3D CNN APPROACH FOR CHANGE DETECTION IN HR SATELLITE IMAGE TIME SERIES BASED ON A PRETRAINED 2D CNN

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