Small satellites face challenges in data transmission due to low earth orbit constraints. JSCC-SAT combines source and channel coding using neural networks for improved communication performance. Evaluation against JPEG 2000 shows superior results in Earth observation data transmission.
The content discusses the increasing importance of small satellites in various applications and the need for efficient data transmission methods. It introduces JSCC-SAT as a solution that outperforms traditional schemes by combining source and channel coding with neural networks. The evaluation results demonstrate the effectiveness of JSCC-SAT in improving image quality during satellite data transmission.
Key points include the challenges faced by small satellites in transmitting large amounts of high-dimensional data efficiently, the introduction of JSCC-SAT as a solution using neural networks for joint source-and-channel coding, and the comparison with JPEG 2000 showing superior performance in Earth observation data transmission.
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