2023
DOI: 10.1109/tgrs.2023.3315725
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Uplink-Assist Downlink Remote-Sensing Image Compression via Historical Referencing

Huiwen Wang,
Liang Liao,
Jing Xiao
et al.
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“…High-resolution satellite imagery, due to its rich information content and complex texture, faces challenges in achieving high compression ratios and reconstruction quality, making it difficult to adapt to the limited computational capabilities and transmission bandwidth available on satellites. Consequently, this paper proposes a technique for sparse representation and high-rate on-orbit compression of satellite remote sensing imagery [14], [15]. By exploring the sparse characteristics of high-dimensional remote sensing data, this technique achieves high-rate on-orbit compression, effectively addressing the transmission delay issues caused by bandwidth limitations.…”
Section: Sparse Representation and High-rate On-orbit Compression Of ...mentioning
confidence: 99%
“…High-resolution satellite imagery, due to its rich information content and complex texture, faces challenges in achieving high compression ratios and reconstruction quality, making it difficult to adapt to the limited computational capabilities and transmission bandwidth available on satellites. Consequently, this paper proposes a technique for sparse representation and high-rate on-orbit compression of satellite remote sensing imagery [14], [15]. By exploring the sparse characteristics of high-dimensional remote sensing data, this technique achieves high-rate on-orbit compression, effectively addressing the transmission delay issues caused by bandwidth limitations.…”
Section: Sparse Representation and High-rate On-orbit Compression Of ...mentioning
confidence: 99%