An Uneven Illumination and Radiometric Difference Removing Method for Multicamera Satellite Images

Relative radiometric calibration (RRC) mainly focuses on color consistency and streak levels between multi-camera or multiple charge-coupled devices (CCDs), that’s to say, full field-of-view (FOV). But RRC may not be conducted completely or that useful due to some factors, such as data quality or quantity in lifetime image statistics, and ineffective side-slither RRC. Aimed to this, this paper proposes a novel approach to solve inner uneven illumination of each camera image and relative radiometric difference of multi-camera images. The highest layer of unidirectional pyramid (UDP) is decomposed into illumination and reflectance components. Uneven phenomenon in this scale is eliminated in illumination component with column-by-column compensation processing and different scales of non-uniformity are removed together with unidirectional pyramid reconstruction. Radiometric variation of multi-camera images is solved with iterative radiometric adjustment. Some typical data of HISEA-2 Multi-Spectral Scanner 1 (MSS-1) are used to validate the effectiveness of our method both in visual and quantitative terms.