Improve Earth Observation raw imaging & accelerate data downlink

Power-efficient raw image compression for satellite manufacturers, optical mission operators and satellite image data users.

Reduce data costs

Increase raw image data throughput

Maximise storage capabilities

Improve your AI accuracy

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1.3GB

original raw dataset

0.3GB

compressed raw dataset

Compression ratio

Typically 6:1

Compression speed

FPGA

6.4 Gpx/s

with 32-pixel parallel

Software

6.2 GB/s

(Intel i9 14900k)

Data quality

No artefacts

No bias

No filtering

Large image data in the way of satellite data analysis

Problem

In aerospace applications, onboard image sensors produce vast amounts of data, leading to slow transmission speeds, increased energy consumption, and expensive infrastructure. Optimizing raw image data workflows is essential for advancing Earth observation and unlocking the full potential of AI and machine learning.

Existing solutions don't fit AI/ML

Traditional lossless compression methods are slow and offer limited compression ratios, making them unsuitable for scalable applications. Additionally, visually lossless algorithms can compromise the robustness of machine learning models when analyzing Earth observation imagery, particularly in fields such as environmental monitoring, geospatial analysis, and aerial agricultural data.

workflow issues

Jetraw Core — Unlock the true power of satellite images

WHAT IS iT

Jetraw Core is a high-efficiency raw image compression solution that seamlessly integrates as an FPGA IP Core or operates as software within data centers. This integration significantly improves raw image data transmission speeds while maintaining superior data quality, ensuring scalable and reliable AI analysis.

BATTLING THE CHALLENGE

Jetraw Core tackles challenges at every stage of the aerospace imaging workflow, excelling in energy efficiency and infrastructure optimization. This results in significant benefits for satellite manufacturers and Earth observation data users alike.

Two implementation routes

Integrate as an FPGA IP Core within the system to enhance data processing speeds and reduce computational requirements.

Integrate as a software library to optimize your IT infrastructure, reduce storage needs, and increase data transfer speeds.

JETRAW IN A NUTSHELL

High speed

High ratio

Raw quality

No artifacts

Tailored for AI

Facilitate scalable raw image data management to support robust AI processing of Earth observation data

Faster acquisition & I/O

Accelerate the acquisition and transmission of raw satellite imagery between memory, FPGA, CPU, onboard systems, remote, and cloud storage using existing cabling and network infrastructure.

Higher throughput

Attain higher raw image data throughput rates (measured in FPS, MB/s, and Mpx/s) with low latency, while conserving computational and bandwidth resources.

Lower energy consumption

Decrease CO₂ emissions associated with image data by utilizing smaller storage volumes, optimizing logistics, and reducing power consumption from payloads to ground stations and data centers.

Lower costs & optimised infrastructure

Maximize image downloads within a single downlink session, facilitating faster, more cost-effective, and environmentally sustainable distribution and storage of Earth observation imagery on the ground.

Accurate data for reliable AI

Jetraw delivers format-agnostic raw image outputs. The quality of this image data directly influences the accuracy of machine learning models and AI-driven results in Earth observation applications.