SATLANTIS Integrates Dotphoton’s Jetraw into GEISAT Satellite

Satlantis has announced a collaboration with Dotphoton to integrate the latter’s Jetraw Core compression technology to enhance its GEISAT Precursor …
SATLANTIS Integrates Dotphoton’s Jetraw into GEISAT Satellite
Credit: SATLANTIS

Ibadan, 30 October 2024. – Satlantis has announced a collaboration with Dotphoton to integrate the latter’s Jetraw Core compression technology to enhance its GEISAT Precursor satellite. This advancement has tripled GEISAT’s image acquisition capabilities and expanded its daily surface coverage to 175,000 km², significantly boosting performance and setting new benchmarks in Earth observation.

The successful implementation consequently demonstrates the maturity of Dotphoton’s innovative technology in real-world applications. Furthermore, it showcases how cutting-edge compression can enhance satellite efficiency while preserving data quality essential for advanced AI analysis. With SATLANTIS’ optical technology, delivering high-resolution imagery at a fraction of the mass and size, this synergy intends to significantly boost satellite performance while contributing to more sustainable space-based EO solutions.

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The GEISAT satellite features the iSIM-90 VNIR SWIR camera, providing high-resolution Earth observation capabilities. The payload also includes two optical channels: one for the visible and near-infrared (VNIR) spectrum and another for the short-wave infrared (SWIR) spectrum, allowing it to acquire simultaneously in both spectral ranges. The camera also offers a spatial resolution of 2 meters in the visible and near-infrared bands and 5 meters in the short-wave infrared. In 2023, GEISAT Precursor joined the Copernicus Program as an Emerging CCM Category 1 for the Atmospheric Composition domain.

On the other hand, Dotphoton’s Jetraw Core is an image and video compressor to aid mission-critical AI-powered applications. Unlike other compressors labelled as “visually lossless”, Jetraw preserves fine details, including those hidden within image noise. While the compressed images remain clear and detailed to the human eye, modern AI algorithms can leverage the retained subtle information to enhance system performance beyond human visual capabilities.

In SATLANTIS’ processing workflow, super-resolution is a key component, and Jetraw Core doesn’t introduce artefacts, bias or filtering, making it ideal for SATLANTIS’ application.

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Joshua Faleti
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