A Target-Based Non-Uniformity Self-Correction Method for Infrared Push-Broom Hyperspectral Sensors

Non-uniformity in the response of spectral image elements is an inevitable phenomenon hyperspectral imaging, which mainly manifests itself as presence band noise acquired data. This problem prominent infrared owing to detector material, operating environment, and other factors. important factor that can affect quality data, has a serious impact on both data analysis applications requires corrections via technical means wherever possible. paper proposes novel target-based non-uniformity self-correction method for push-broom images. The Mars Mineralogical Spectrometer (MMS) onboard Tianwen-1 orbiter was used research application object. model constructed applied target scene characteristics detection patterns remote sensing exploration, are combined with causes generation bands. design MMS dual-channel Visible-Near-Infrared (V-NIR) Near-Mid-Infrared (N-MIR) co-field view co-target laboratory calibration V-NIR achieve (NUCs). Therefore, in-orbit exploration mission, selected (920–1055 nm) characterized by reduced atmospheric influence iteratively obtain homogeneous region, calculate correction N-MIR band. compared, validated, evaluated conventional methods using results showed experimental were comparable calibrations, maximum relative deviation <2.6%. These prove our not only provides excellent correction, but also ensures fidelity. It thus be process similar imagers.