Design and Implementation of a Lossless Compression System for Hyperspectral Images

Received: 8 May 2020 Accepted: 19 September 2020 Despite its popularity, the hyperspectral image compression algorithm recommended by the Consultative Committee for Space Data Systems (CCSDS) faces a long delay of the feedback loop and complex computations in the modes of band sequential (BSQ) and band interleaved by line (BIL). After analyzing the features of the CCSDS algorithm, this paper proposes a forward prediction method based on the xc7k325tffg9000 field programmable gate array (FPGA) chip (Xilinx Inc.), and adjusts the calculation flow of the CCSDS algorithm, aiming to shorten the time delay in the feedback loop. In addition, full-pipeline construction was implemented on FPGA board to realize real-time processing of data, and dynamic configuration of image parameters. Through functional simulation and off-board test, it is learned that, for the speed-insensitive path, the optimized algorithm can realize the complex operations of the original algorithm with less hardware resources; for hyperspectral image data with an effective input bit width of 12bit, the proposed method can reach a maximum operating frequency of 103MHz, and the data throughput of 103M samples per second (1.237Gbps).