Multispectral and Hyperspectral Compressor (MHyC) 2.0: An Integrated Architecture of a Simple Lossless Algorithm

The increasing requirement for higher resolution imagery and the data acquisition rates challenge the data processing capabilities of satellites, requiring on-board compression before transmission to the ground station. This paper proposes an integrated architecture of a Simple Lossless Algorithm (SLA) for on-board satellite multispectral and hyperspectral data compression, which allows run-time selection of the input sampling order across the hyperspectral imagers. The architecture is designed for an input dynamic range of 16-bits and supports the three most widely used input sampling orders for the hyperspectral imagers, i.e. the band sequential (BSQ), band interleaved by line (BIL) and band interleaved by pixel (BIP). The architecture optimizes the processing blocks as per the sampling orders, uses a pointer-based index for synchronization and introduces pipelining and memory management to improve the throughput. The test datasets from the Consultative Committee for Space Data System (CCSDS) corpus are used to evaluate the architecture on a Kintex KCU-105 evaluation board. Although the architecture integrates three input sampling orders, a maximum throughput of ≈ 4.48 Gbps is achieved with comparable resource utilization and power consumption to the existing architectures of SLA and the CCSDS 123.0-B-1 standard, designed for a single sampling order.