On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites

被引:1
|
作者
Van-Phuc Bui [1 ]
Dinh, Thinh Q. [2 ,4 ]
Leyva-Mayorga, Israel [1 ]
Pandey, Shashi Raj [1 ]
Lagunas, Eva [3 ]
Popovski, Petar [1 ]
机构
[1] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark
[2] Univ Informat Technol, Ho Chi Minh City, Vietnam
[3] Vietnam Natl Univ, Ho Chi Minh City, Vietnam
[4] Univ Luxembourg, Luxembourg, Luxembourg
关键词
Satellite communication; Semantic communication; Change detection; Image processing;
D O I
10.1109/GLOBECOM54140.2023.10437543
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:3971 / 3976
页数:6
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