Comparison and Analysis of Image Fusion Algorithms for GF-2 Satellite

Abstract

Image fusion is an indispensable step in the technology of satellite image processing. After orthorectification and registration can image fusion, the image fusion can effectively increase the utilization rate of the image and improve the discrimination of objects in the image. Firstly, this article introduces the background and significance of image fusion technology nowadays, and then introduced the related algorithms of image fusion in detail. Finally, the algorithm is implemented through experiments. The experiment adopts “GF-2” satellite to acquire the image data. The Xiongan New Area divided by Hebei Province was chosen as the experimental area. Comparing and analyzing the Baiyangdian Wharf in Anxin County, which is rich in features, high contrast, and low cloudiness. Several fusion algorithms were compared and analyzed by visual observation and quantitative analysis. The experimental results in this paper can be used to provide a reference for the fusion and application of “GF-2” satellite image data.