Revolutionizing EO with AI-driven Data Compression
Developed by VITO Remote Sensing, CORSA revolutionizes data compression and processing for Earth Observation.
Using advanced deep learning, it efficiently compresses imagery from sensors like Sentinel-1, Sentinel-2 and PRISMA, drastically reducing data volume while maintaining high image fidelity, even at 100x compression rates.
CORSA's flexibility offers tailored solutions, balancing compression ratio and reconstruction quality to meet specific project needs. It provides custom trained models for new sensors, pretrained models for optimizing EO portal storage, and AI training templates for downstream applications.
CORSA's compressed features can be directly used to build downstream applications, enhancing the development and accessibility of hyperspectral application despite data transmission limitations.
This technology enhances efficiency and reduces costs for space providers and space agencies.
CORSA paves the way for advanced AI in future space missions and will expand into hyperspectral data analyses, broadening its impact across EO sectors.
Key Features
- AI-Driven Compression: implements a novel deep learning architecture to compress optical EO imagery into compact vectors.
- Edge Computing: reduces data transmission needs by processing data closer to the source by a factor 20 to 100 without information loss.
- Foundation model: compressed bitstreams act as a multi-purpose semantically meaningful embeddings. Enables fast application training & deployment, minimizing memory footprint and bandwidth.
Benefits
- Efficient Data Use: greatly reduces the volume of data that needs to be transmitted and stored, up to 100x compression.
- High-Quality Reconstruction: maintains high image fidelity with minimal quality loss.
- Versatile Application: supports a range of downstream tasks like land use classification change detection and natural disaster mapping directly from compressed data.
Target audience
- Space agencies
- EO satellite and data providers
- environmental monitoring organizations
- research institutions involved in EO
This technology enhances efficiency and reduces costs.
It paves the way for advanced AI in future space missions and will expand into hyperspectral data analyses, broadening its impact across EO sectors
Offered services
- CUSTOM TRAINED MODELS FOR NEW SENSORS
Tailored for efficient onboard integration with a custom ground decoder. - PRETRAINED MODELS
Optimize large-scale EO data storage and processing in your portal - DOWNSTREAM APPLICATION AI
Custom build information products on CORSA compressed embeddings:
classification, semantic segmentation, object detection & instance segmentation
Technical specifications
- SUPPORTED SENSORS: Sentinel-1, Sentinel-2, EnMAP, PRISMA, APEX
- CORE ALGORITHM: Lightweight Adapted and quantized VQVAE-2 architecture
- CURRENTLY SUPPORTED HARDWARE: CPU/GPU, Nvidea Jetson Orin family, Hailo-8
More details: check CORSA product sheet.
Get Started!
Prototype to compress Sentinel-2 images with the CORSA algorithm:
- Via the notebook at the CORSA Github
- As a service via Terrascope
Case studies
Success stories and detailed benefits are illustrated through case studies, available for review in project-specific documentation: