[Simulation and analysis of interference imaging spectrometer influenced by satellite vibration]

Area of Science:

• Remote Sensing
• Optical Engineering
• Astrodynamics

Context:

• Satellite-based spectral imaging is crucial for environmental monitoring.
• Platform instability during spectral imaging missions degrades data quality.
• Understanding degradation mechanisms is essential for accurate remote sensing.

Purpose:

• To propose a differential dynamic imaging simulation method for spectral imaging degradation.
• To introduce the mean ratio of doping to quantify the impact of satellite motion on spectral imaging.
• To establish a quantitative relationship between satellite motion parameters and imaging degradation.

Summary:

• A novel simulation method models spectral imaging degradation caused by satellite platform instability.
• The mean ratio of doping metric links satellite motion parameters to spectral imaging quality.
• Simulations using an environmental resources satellite demonstrate significant impacts on spatial resolution and spectral information, particularly in species-rich areas.

Impact:

• Quantifies the relationship between satellite vibration and spectral imaging quality.
• Highlights the critical need for high satellite attitude stability.
• Underscores the necessity of implementing compensation measures to mitigate degradation effects in spectral imaging missions.