Scene-based nonuniformity corrections for optical and SWIR pushbroom sensors

Area of Science:

• Remote Sensing
• Optical Sensor Calibration

Background:

• Pushbroom sensors require accurate radiometric calibration for reliable data.
• Nonuniformity is a common sensor artifact affecting image quality.
• Existing calibration methods may require refinement or new approaches.

Purpose of the Study:

• To develop and evaluate scene-based methods for nonuniformity correction.
• To provide techniques for computing new correction values or refining existing calibrations.
• To offer a generalized approach for various sensor systems and datasets.

Main Methods:

• Scene-based algorithms were proposed and evaluated.
• Methods were designed to compute new correction values.
• Techniques were developed to repair or refine existing radiometric calibrations.

Main Results:

• The effectiveness of scene-based methods was demonstrated.
• Performance is dependent on data quality, scene type, and prior calibration.
• Methods were validated using data from multiple sensor systems.

Conclusions:

• Scene-based methods offer a flexible approach to nonuniformity correction.
• The choice of method depends on specific dataset characteristics.
• A generalized strategy is provided for applying these corrections to new data.