Seamless Mosaic Using Removal Sunglint to Support a Large-Scale Mapping Acceleration

Abstract

Mosaics of remote sensing images to support the acceleration of large-scale mapping are one of the steps in the data preparation process for dissemination to users, where generally users need seamless, mosaic images, especially on the land area. To produce a seamless mosaic image on the land area, it is sometimes constrained by the data that contains sunglints due to the direction of the recording that is opposite to the direction to the sun which causes the mosaic results to look not uniform in color on the land area. In this study, mosaics were carried out in the Pacitan area using Pleiades satellite data. From the existing problems, this study aims to compare the results of the mosaic image by removing sunglint compared to mosaic without removing sunglint. The results of this study indicate that the mosaic image by
 removing the sunglint produces a more seamless mosaic than the mosaic without removing the sunglint.