Satellite image compressed data block analysis method and system based on AOS frame

Abstract

The invention discloses a satellite image compression data block analysis method and system based on an AOS frame, and the method comprises the steps: obtaining a to-be-analyzed satellite image compression data block, and packaging the satellite image compression data block into a universal decompression image block; analyzing BPDU guide header parameters, and determining whether the data are all valid, full-filled and partially valid, wherein in the fully effective state, the BPDU data is analyzed and put into a write-out sending auxiliary processing function of the channel; in the full filling state, returning to the step 1 to reprocess the data; and in the partial effective state, reading the data length of the effective data of the guide head part, analyzing and putting the data length into the write-out sending auxiliary processing function of the channel. According to the method, the position of the image block data in the image frame can be determined, so that the complete image formed by the satellite sensor is recovered, and the analysis of the data block can be more accurate and efficient.

Description

technical field [0001] The invention belongs to the technical field of data communication transmission, relates to the field of satellite image compressed data block analysis, and in particular to an AOS frame-based satellite image compressed data block analysis method and system. Background technique [0002] On the basis of the successful development of the Conventional On-Orbit System (COS) system and standards suitable for low and medium data rate spacecraft by the Space Data System Advisory Committee (CCSDS) composed of national space organizations, it has further developed to meet the requirements of complex spaceflight The advanced on-orbit system (AOS) system and standard targeting at the requirements of the controller. It is a system that serves air-to-air, air-to-ground measurement and control communications and data management. It can handle large-capacity, high-speed data and meet simultaneous access by a large number of users with different needs. It supports h...

AI Technical Summary

Problems solved by technology

In the current satellite image compressed data block analysis methods, each can only analyze one or several specific AOS data frame formats, which does not have strong compatibility; in addition, in the existing methods, parallel analysis and efficiency issues There is still some room for improvement. Although some methods achieve high-efficiency analysis, the safety and reliability in the actual application process are difficult to meet the requirements.

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