Stray light correction method for VIIRS DNB based on automatic region division

Stray light contamination is an important factor affecting the nighttime remote sensing image quality, especially affecting the quantitative application of low-light-level remote sensing data. VIIRS Day/Night Band(DNB) data is the most widely used nighttime low-light-level data in the world. However, the stray light contamination impacts the DNB sensor's nighttime scenes. In this paper, we analyzed the characteristics of VIIRS DNB stray light and designed a simple and effective stray light correction method based on automatic region division. We preprocessed the data that meet certain solar zenith angle(SZA) requirements to obtain the true stray light data. An automatic region division method according to the SZA is designed to find the specific area affected by stray light and get the boundary of different region. Polynomial curve fitting based on least square method was used to get the mathematical model of the stray light. Then the mathematical model was used to do the stray light correction. We use the DNB northern hemisphere Earth view data to verify this method. Experimental result shows that the proposed method can effectively remove stray light and restore the surface information while preserving the radiation information.