A Source Coding and Intelligent Decoding Method Against Bit Error and Packet Loss

Abstract

The invention discloses an error code and packet loss resistance source coding and intelligent decoding method. The method includes the step of space-borne coding, wherein images are divided into non-overlapping sub-blocks; JPEG-LS coding is carried out on each sub-block; a group of error detection and correction (EDC) information is inserted behind every K sub-blocks to form an error detection code steam; RS (m, n) error correction coding is conducted; each EDC code steam is divided into data packets of the same length according to c*m bytes; a compressed frame header of each frame is added before each compressed code steam, and a compressed frame tail of each frame is added behind each compressed code steam; the step of ground decoding, wherein the code streams are searched for the compressed frame headers according to the distance minimization norm, and the compressed code steam of one frame is extracted; multiple pieces of compressed information are extracted from the frame headers; the extracted compressed code steam is searched for packet identification codes according to the distance minimization norm, and c*m bytes of data packets are extracted; RS (m, n) decoding is conducted; EDC identification codes are searched for; JPEG-LS decoding is carried out on each sub-block independently, and the whole image is spliced. According to the method, error codes can be well corrected.

Description

technical field [0001] The invention belongs to the technical field of cross technology combining image processing and signal transmission, and particularly relates to a source coding and intelligent decoding method that is resistant to bit error and packet loss. Background technique [0002] With the improvement of the types and resolutions of spaceborne imaging payloads, the amount of image data acquired by satellites during the effective observation period is increasing. Restricted by the geographical distribution of ground receiving stations, satellite data storage, and transmission bandwidth capabilities, the massive amount of image data puts great pressure on satellite data management. On-board image compression is an inevitable choice to solve this problem. Due to the high cost of image acquisition in satellite remote sensing imaging on the one hand, and the acquired data itself is very important, on the other hand, the on-board compression system often adopts lossles...

AI Technical Summary

Problems solved by technology

However, for SATCOM, retransmission is not feasible

On the one hand, this is due to the real-time requirements of satellite communication. On the other hand, the amount of data encoded by satellite images is large, and repeated retransmissions will cause channel congestion.

The ground decompression system decodes the compressed code stream with bit errors and packet loss, resulting in errors between the decompressed image and the real satellite observation image, which causes great difficulties for satellite image analysis, interpretation and subsequent application

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