Spaceborne snapshot compressive hyperspectral imaging

Area of Science:

• Aerospace Engineering
• Remote Sensing Technology
• Computational Imaging

Background:

• Traditional hyperspectral payloads face limitations in acquisition speed, data volume, and cost, hindering real-time Earth observation.
• Existing technologies present challenges for broad-scale in-orbit deployment due to complex optics and high expenses.

Purpose of the Study:

• To introduce the world's first compact spaceborne snapshot compressive hyperspectral payload, BUPT-spectra01.
• To demonstrate a novel computational imaging approach for efficient hyperspectral data acquisition and processing.
• To enable high-speed, high-resolution hyperspectral imaging for diverse Earth observation applications.

Main Methods:

• Development of a compact, low-cost snapshot compressive hyperspectral payload (BUPT-spectra01) utilizing a reflective coding structure.
• Single-exposure 47-band hyperspectral imaging with 6.5 nm spectral resolution and 47x data compression.
• Implementation of a novel spatial-spectral inference neural network (SSI-Net) for accurate hyperspectral information reconstruction.
• Achieving video-level hyperspectral observation with a frame rate of 30 frames per second.

Main Results:

• Successful launch and operation of BUPT-spectra01, a compact (1.535 kg) and cost-effective hyperspectral payload.
• Demonstrated high-speed data acquisition (1 ms exposure) and significant data compression (47x).
• Validated accurate ground cover classification using hyperspectral features in orbit.
• Achieved video-level hyperspectral imaging capabilities.

Conclusions:

• BUPT-spectra01 represents a significant advancement in spaceborne hyperspectral imaging, overcoming limitations of traditional systems.
• The payload's compact design, high speed, and data compression capabilities pave the way for widespread satellite internet applications.
• This computational imaging approach shows strong potential for real-time hyperspectral observation in disaster management, environmental monitoring, and resource exploration.