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Hardware Implementation of the CCSDS 123.0-B-2 Near-Lossless Compression Standard Following an HLS Design Methodology
| Content Provider | MDPI |
|---|---|
| Author | Antonio, Sánchez Barrios, Yubal Guerra, Raúl Sarmiento, Roberto |
| Copyright Year | 2021 |
| Description | The increment in the use of high-resolution imaging sensors on-board satellites motivates the use of on-board image compression, mainly due to restrictions in terms of both hardware (computational and storage resources) and downlink bandwidth with the ground. This work presents a compression solution based on the CCSDS 123.0-B-2 near-lossless compression standard for multi- and hyperspectral images, which deals with the high amount of data acquired by these next-generation sensors. The proposed approach has been developed following an HLS design methodology, accelerating design time and obtaining good system performance. The compressor is comprised by two main stages, a predictor and a hybrid encoder, designed in Band-Interleaved by Line (BIL) order and optimized to achieve a trade-off between throughput and logic resources utilization. This solution has been mapped on a Xilinx Kintex UltraScale XCKU040 FPGA and targeting AVIRIS images, reaching a throughput of 12.5 MSamples/s and consuming only the 7% of LUTs and around the 14% of dedicated memory blocks available in the device. To the best of our knowledge, this is the first fully-compliant hardware implementation of the CCSDS 123.0-B-2 near-lossless compression standard available in the state of the art. |
| Starting Page | 4388 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs13214388 |
| Journal | Remote Sensing |
| Issue Number | 21 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-31 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Hyperspectral Imaging Compression Algorithms Fpga Hardware Implementations Space Missions On-board Data Processing Ccsds |
| Content Type | Text |
| Resource Type | Article |