A proposed method of systematic geometric correction for LAPAN-A4 satellite data

Indonesia’s fourth microsatellite, LAPAN-A4, is planned to be launched at the end of 2022. The satellite will carry nine payloads, two of which are line imager sensors named SLIM4 and ELLISA. The payloads have four multispectral bands, which are R, G, B, and NIR. In order to get an accurate image, a correct and precise image processing technique is required. One of these image processing steps is a geometric correction. Geometric correction or georeferencing is the process of associating the image geometry to the actual magnitude and units on earth, which is done by equating the position of the target location in the image with the precise location on earth. There are two types of georeferencing, the rigorous sensor model (physical model) and the generalized sensor model (empirical model). The rigorous sensor model (RSM) is believed to be the most reliable method that can be applied to the overall image generated by the imaging system. It is the best choice for areas where in situ ground control point (GCP) measurements are not possible. It has been applied in SPOT-4,5,6,7 and Landsat-8 satellite data. This paper proposes a method of systematic geometric correction for LAPAN-A4 satellite data generated by SLIM4 and ELLISA sensors.