Change detection; Image processing; Satellite communication; Semantic communication; Earth observation satellites; Earth observations; Ground connections; Images processing; LEO satellite; Multi-spectral; Resource-efficient; Satellite communications; Artificial Intelligence; Computer Networks and Communications; Hardware and Architecture; Signal Processing
Abstract :
[en] The amount of data generated by Earth observation satellites can be enormous, which poses a great challenge to the satellite-to-ground connections with limited rate. This paper considers problem of efficient downlink communication of multi-spectral satellite images for Earth observation using change detection. The proposed method for image processing consists of the joint design of cloud removal and change encoding, which can be seen as an instance of semantic communication, as it encodes important information, such as changed multi-spectral pixels (MPs), while aiming to minimize energy consumption. It comprises a three-stage end-to-end scoring mechanism that determines the importance of each MP before deciding its transmission. Specifically, the sensing image is (1) standardized and passed through a high-performance cloud filtering via the Cloud-Net model, (2) passed to the proposed scoring algorithm that uses Change-Net to identify MPs that have a high likelihood of being changed, compress them and forward the result to the ground station, and (3) reconstructed at ground gateway based on reference image and received data. The experimental results indicate that the proposed framework is effective in optimizing energy usage while preserving high-quality data transmission in satellite-based Earth observation applications.
Disciplines :
Computer science
Author, co-author :
Bui, Van-Phuc; Aalborg University, Department of Electronic Systems, Denmark
Dinh, Thinh Q.; University of Information Technology, Ho Chi Minh City, Viet Nam ; Vietnam National University, Ho Chi Minh City, Viet Nam
Leyva-Mayorga, Israel; Aalborg University, Department of Electronic Systems, Denmark
Pandey, Shashi Raj; Aalborg University, Department of Electronic Systems, Denmark
LAGUNAS, Eva ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Popovski, Petar; Aalborg University, Department of Electronic Systems, Denmark
External co-authors :
yes
Language :
English
Title :
On-Board Change Detection for Resource-Efficient Earth Observation with LEO Satellites
Publication date :
December 2023
Event name :
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Event place :
Kuala Lumpur, Mys
Event date :
04-12-2023 => 08-12-2023
Main work title :
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Publisher :
Institute of Electrical and Electronics Engineers Inc.
This work was supported by the Villum Investigator Grant “WATER” from the Velux Foundation, Denmark. The work of Eva Lagunas has received funding from the Luxembourg National Research Fund (FNR) under the project SmartSpace (C21/IS/16193290).
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