A Brovey fusion method based on image histogram matching

doi:10.13474/j.cnki.11-2246.2025.0423

Abstract

Abstract: The paper discusses a Brovey fusion method based on image histogram matching(IHM Brovey fusion). This method solves the defects of Brovey fusion method limiting the number of multi-spectral bands and large variation of spectral characteristics of ground objects in fusion image results. The experimental results show that compared with Brovey fusion image, the average correlation coefficient between each band of IHM Brovey fusion image is reduced by 2.60%, the average information entropy is increased by 0.25%, and the average gradient is increased by 6.02%, which better preserves the rich spectral information of the original multi-spectral image and the fine spatial texture information of panchromatic image. It is found that the spectral offset of surface objects such as water, forest land and buildings in the fusion image results of this method is greatly reduced, especially for the whole remote sensing image of the test area, the spectral offset is as low as 0.46%, and the spectral variation of surface objects in the fusion image of IHM Brovey method is smaller and more stable.

Key words: Brovey fusion method, histogram matching, IHM Brovey fusion method, spectral offset

CLC Number:

P237

LIU Chaoqun, YU Shunchao, GU Zhujun, HE Yingqing, ZHAO Min, HE Qiuyin. A Brovey fusion method based on image histogram matching[J]. Bulletin of Surveying and Mapping, 2025, 0(4): 139-144.

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