Abstract

Firstly, this paper studies the overall structure, key technologies and core hardware design of the high-resolution satellite image data receiving and processing system. The system adopts a real-time parallel image data receiving and processing algorithm based on RS error correction coding. At the same time, according to the characteristics of a single chip, combined with software design, the system has made corresponding research on RS decoding, noise reduction and signal processing software, and has carried out effective scheme and simulation verification design for different needs. The system can provide users with an intuitive and accurate user experience by using real-time point to point data transmission and automatic analysis of processing results for calculation. Image signal has rich and bright color expression and clarity. Compared with similar data sources, the spatial resolution is greatly improved. In traditional image processing, channel coding is the simplest and most convenient coding method, but it is more serious for low noise and inter symbol interference; Now, the satellite image data processing is basically to compress and store the collected data, decode and compress them, and then upload them. In this way, the decoder and storage device do not need to work at the same time, and the computing resources are greatly increased.

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