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

Abstract

Relative radiometric calibration (RRC) mainly focuses on color consistency and streak levels between multicamera or multiple charge-coupled devices (CCDs), that is 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 letter proposes a novel approach to solve inner uneven illumination of each camera image and relative radiometric difference of multicamera 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 strategy, and different scales of nonuniformity are removed together with UDP reconstruction. Radiometric variation of multicamera 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.