DAPCOM is about to release a new version of the FAPEC data compression software. Among its exciting new features we can find a new stage for tabulated text data, such as point clouds or CSV files. We have done some tests which reveal that FAPEC achieves the best compression ratios at a very low computing cost!
Lossless data compression ratios on tabulated text data
Lossless data compression speeds on tabulated text data
During the past few months, DAPCOM has worked with Spire to adapt its FAPEC data compression technology to their Radio Occultation (RO) satellite data. Our software engineers and data compression experts have crafted a data compression software tool to be deployed in Spire’s payloads on-orbit, achieving a remarkably high compression ratio on RO data. DAPCOM solution will contribute to obtaining a richer data product from the satellites.
This is a strategic project for DAPCOM Data Services that consolidates the company activity in the nanosatellite industry, demonstrating the maturity and applicability of our high-performance data compression technology and its added value to space communications systems, as well as the software engineering excellence of the technical team to design and implement tailored interfaces.
Spire Global, Inc. is an American private company specializing in data gathered from a network of small satellites. It has successfully deployed several Earth observation CubeSats into Low Earth Orbit. The company has offices in San Francisco, Glasgow, Singapore, and Boulder.
DAPCOM has participated in the On-Board Payload Data Compression workshop (OBPDC) held in Venice last October 23rd + 24th. As usual, this fourth edition was very interesting and fruitful, as can be seen in the Programme.
DAPCOM presented the results obtained with FAPEC and DWTFAPEC on a variety of test images. Most remarkably, we presented there our new developments. On one hand, a parallel implementation of our FAPEC data compressor, which scales very good up to 16 processes, reaching 600MB/s in that case. On the other hand, our new image compression algorithm, HPA (Hierarchical Pixel Averaging); despite of being just a prototype, this lossless and fixed-quality lossy compressor offers ratio-versus-quality results comparable to those of the current space standard (CCSDS 122.0), and also comparable to those obtained with the JPEG standard. The proceedings of these presentations are also available under request.
