Statistical Non-uniformity Correction for Paddlebroom Thermal Infrared Image

Considering the thermal infrared system and end users need, a statistical non-uniformity correction method is proposed to shorten the time to find suitable and broad ground calibration area. Its basic assumption accords to classically linear model, but it extends traditional operating manner. Specifically and first, for each circle the onboard non-uniform parameter is strictly calculated via sensing two blackbodies in different temperature. Then stack the real paddlebroom data which incorporates atmospheric and motion effect into a virtual one, and fit this small data to reconstruct final coefficients of every pixel statistically. From processing system, the demo cases demonstrate its potential to get a better result (lower variation in real uniform region) without dependency on weather or the classical type of object in image, and largely compress the time to get first image product.