A Simplified Predictor With Adjustable Compression Ratio Based on CCSDS 123.0-B-2
Lili Zhang, Peng Zhang, Chengpeng Song, Longsheng Zhang · IEEE Geoscience and Remote Sensing Letters · 2025
The Consultative Committee for Space Data Systems (CCSDS) has released the CCSDS 123.0-B-2 standard, which supports lossless and near-lossless compression for multispectral and hyperspectral images. This standard introduces a quantization feedback loop in the predictor. However, this feedback loop significantly reduces throughput efficiency in hardware implementations, hindering real-time on-board compression. To address this issue, this letter proposes a single-step prediction strategy. In the modes of band interleaved by line (BIL) data transmission mode, throughput is improved from 17.86 to 101 Msamples/s, achieving real-time processing. Furthermore, this letter introduces an adaptive maximum reconstruction error to achieve a controllable compression ratio, thus addressing the challenges posed by fixed and limited downlink bandwidth in harsh environments.