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The Tech Behind OptoSAR Imagery

We are solving one of Earth Observation's most fundamental challenges.

PROBLEM
SOLUTION

The Problem of Parallax and Time-Gaps

Traditionally, creating a multi-layered analysis required data from two separate satellites: one with a SAR sensor and one with an optical sensor. This approach introduces unavoidable errors from differences in viewing angle (parallax) and capture time (temporal gaps). For mission-critical applications, this level of uncertainty is unacceptable.

The SyncFusion™ Technology Stack

OptoSAR is more than just sensors; it's an end-to-end system of hardware and software designed to work in perfect harmony.

Hardware Integration

We engineered a compact, proprietary payload that houses both an X-Band SAR sensor and a 7-band multispectral imager on a single, thermally-stable optical bench. This physical co-location is the first step in eliminating parallax error at the source.

AI-Powered Fusion Algorithms

Our onboard and ground-based software uses AI models for sub-pixel co-registration and jitter correction. These algorithms ensure that every single data point from both sensors is captured and processed as part of a single, unified dataset.

PROBLEM

The Problem of Parallax and Time-Gaps

Traditionally, creating a multi-layered analysis required data from two separate satellites: one with a SAR sensor and one with an optical sensor. This approach introduces unavoidable errors from differences in viewing angle (parallax) and capture time (temporal gaps). For mission-critical applications, this level of uncertainty is unacceptable.

SOLUTION

The SyncFusion™ Technology Stack

OptoSAR is more than just sensors; it's an end-to-end system of hardware and software designed to work in perfect harmony.

Hardware Integration

We engineered a compact, proprietary payload that houses both an X-Band SAR sensor and a 7-band multispectral imager on a single, thermally-stable optical bench. This physical co-location is the first step in eliminating parallax error at the source.

AI-Powered Fusion Algorithms

Our onboard and ground-based software uses AI models for sub-pixel co-registration and jitter correction. These algorithms ensure that every single data point from both sensors is captured and processed as part of a single, unified dataset.

Visualisation

Anatomy of a GalaxEye OptoSAR Image

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The Optical Layer

Provides intuitive visual context, color, and texture, making the image easy to interpret. But it is obscured by nights, clouds and smoke.

The SAR Layer

Penetrates clouds, darkness, and smoke to reveal structural information, surface texture, and elevation changes. But it's very unintuitive.

The OptoSAR Image

Combines the clarity of Optical Imaging with the all-weather reliability of SAR. The result is one dataset with complete context and undeniable ground truth, delivered from a single pass.

Technical documentation

Dive Deeper into Our Technology

Explore the science behind our systems.

Mission Drishti Specs
SyncFusion™ Whitepaper
TECH STACK

Our entire stack is designed and built in-house.

We validated our sensors across drones, aircraft, and HAPS platforms, with 400+ test flights and live trials with defence and research bodies.

In House Processing

Image Co-registation
SAR + EO Fused Image
Optical Regeneration
Super Resolution

Data Analysis

Image Co-registation
SAR + EO Fused Image
Optical Regeneration
Super Resolution

Let us Address Your Mission

Have any questions or need more information?
Reach out to us directly.

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