Abstract:
System time is one of the most pivotal metadata of a satellite payload, thus having outliers on the system time can lead to failure in the data processing. Therefore, an ...Show MoreMetadata
Abstract:
System time is one of the most pivotal metadata of a satellite payload, thus having outliers on the system time can lead to failure in the data processing. Therefore, an outlier rejection method is crucial to cleanse the metadata before partaking in further processes. In this research, three variants of the random sampling consensus (RANSAC) algorithm are selected to deal with outliers in the system time of the LAPAN-A3 satellite. Default RANSAC, RANSAC with least square, and RANSAC with median value are chosen to be tested to the synthetic data with a variation on the outlier ratio and standard deviation. RANSAC with the least square variant shows superiority in precision, recall, and robustness. Furthermore, a sequential RANSAC is built to deal with multiple structures on the metadata of LAPAN-A3. The method can estimate the outlier with a precision of 0.9 and a recall of 0.6.
Published in: 2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)
Date of Conference: 24-25 November 2022
Date Added to IEEE Xplore: 30 December 2022
ISBN Information: