DMSAT-1 (Dubai Municipality Satellite) is a high-performance small microsatellite designed to perform multi‐spectral observations in visual and near-infrared bands for aerosol and greenhouse gas monitoring. DMSAT-1 has two independent telescopes (one with 0-degree polarization and the second with 90-degree polarization) each containing a linear polarizer. The polarizers are mounted perpendicularly. DMSAT-1 captures images in three bands – Blue, Red, and Near-Infrared. This paper puts forward customized algorithms for Mohammed Bin Rashid Space Centre (MBRSC), which are developed in Python for radiometric validation and tested on images captured by the primary instrument (polarimeters) on the DMSAT-1 microsatellite. Radiometric validation includes the validation of the Signal-Noise Ratio, Non-Uniformity Correction, and Modulation Transfer Function of the images. The proposed method validates the images across different bands as well as different polarizers and confirms that satellite images can be readily used.
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