Statistica1-based Stripe Noise Correction on LAPAN Microsatellite Imagery

LAPAN-A2 and LAPAN-A3 are the second and third generation microsatellites developed by Satellite Technology Center, Indonesian National Institute of Aeronautics and Space. To support earth observation and maritime surveillance, these satellites were equipped with matrix camera payload capable of producing digital images formed in Bayer pattern. Due to usage time of the camera, the quality of captured images is degraded leading to the appearance of vertical and horizontal stripe noise on captured images. The purpose of this study is to implement a statistical-based stripe noise correction involving median and mean filter in order to overcome relying stripe noise on images captured by LAPAN-A2 and LAPAN-A3 microsatellites. The performance of proposed method was evaluated quantitatively by calculating peak signal to noise ratio and structural similarity of corrected image.

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