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为提高遥感图像传输的可靠性,结合抗差错算术码和低密度奇偶校验码,提出了一种基于遥感图像压缩算法的联合信源信道解码算法。在该算法中,低密度奇偶校验码提供初步的解码结果,以帮助算术码解码器进行高效地序列解码;算术码修正后的比特信息被反馈至低密度奇偶校验码进行迭代解码,直至置信度解码算法收敛或者抗差错算术码算法中的堆栈为空(此情况下即宣告解码失败)。仿真结果表明,该方案同分离解码算法相比,能够有效地降低传输噪声的影响,重建图像的峰值信噪比最大能够取得15dB以上的增益。
In order to improve the reliability of remote sensing image transmission, combined with anti-error arithmetic code and low density parity check code, a joint source channel decoding algorithm based on remote sensing image compression algorithm is proposed. In this algorithm, low-density parity-check codes provide preliminary decoding results to help the arithmetic code decoder perform efficient sequence decoding; the bit information after the arithmetic code correction is fed back to the low-density parity-check codes for iterative decoding until Confidence decoding algorithm convergence or error-free arithmetic code stack is empty (in this case, that decoding fails). The simulation results show that the proposed scheme can effectively reduce the impact of transmission noise compared with the separate decoding algorithm. The peak signal-to-noise ratio of the reconstructed image can achieve a gain of more than 15dB.