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Onboard Processing of Hyperspectral Imaging and Its Role in Critical Mineral Detection

1. What is Hyperspectral Imaging?

Hyperspectral imaging (HSI) involves capturing image data across a wide spectrum of electromagnetic wavelengths—often hundreds of contiguous spectral bands—beyond the visible range. This detailed spectral information allows for precise material identification based on their unique spectral signatures.

2. Onboard Processing Defined

Onboard processing refers to performing data analysis and interpretation directly on the imaging platform (e.g., satellite, drone, aircraft) in real-time or near-real-time, rather than transmitting raw data to ground stations for processing. This involves using embedded computing hardware and algorithms to:

Pre-process raw hyperspectral data (e.g., noise reduction, calibration).

Extract relevant spectral features.

Classify or identify specific materials or minerals.

Generate actionable information or maps immediately.

3. How Onboard Processing Works in Hyperspectral Imaging

Data Acquisition:** The hyperspectral sensor captures high-dimensional spectral data as the platform moves over the terrain.

Pre-processing:** Immediate correction steps are performed to account for sensor noise, atmospheric effects, and geometric distortions.

Spectral Analysis:** Algorithms analyze spectral signatures to detect characteristic features of minerals.

Classification & Mapping:** Using spectral libraries and machine learning models, the system classifies minerals on-the-fly, generating mineral maps or alerts.

4. Benefits for Critical Mineral Detection

Critical minerals—such as rare earth elements, lithium, cobalt, and others—are often found in specific geological settings with distinct spectral signatures. Onboard processing enhances mineral detection efforts by:

Speed:** Rapid identification and mapping enable real-time decision making during exploration campaigns.

Efficiency:** Reduces the volume of data transmitted, saving bandwidth and storage, and focusing only on relevant information.

Cost-Effectiveness:** Minimizes the need for extensive ground-based analysis and reduces operational costs.

Accuracy:** Real-time processing allows for immediate validation, calibration, and refinement, improving detection reliability.

Operational Flexibility:** Enables adaptive survey strategies, such as focusing on promising areas identified during the flight.

5. Summary

Onboard processing of hyperspectral imaging is a crucial technological advancement that allows for fast, efficient, and accurate detection of critical minerals directly in the field or from orbit. It leverages advanced algorithms and computing hardware to analyze spectral data in real-time, delivering immediate insights that accelerate exploration and resource assessment efforts.