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Academic Journal of Computing & Information Science, 2023, 6(2); doi: 10.25236/AJCIS.2023.060201.

Remote Sensing Image Fusion Based on Wavelet Transform


Shengzhong Zhang

Corresponding Author:
Shengzhong Zhang

Information Network Center, China University of Geosciences (Beijing), Beijing, China


In this study, we propose an effective image fusion method which applies the Wavelet Transform algorithm to the remote sensing image fusion. The wavelet transform decomposes the original image into a series of frequency channels, so two images with distinct characteristics can be fused separately in multiple frequency domains. By applying the Wavelet Transform algorithm, we can get a better effect than other traditional fusion algorithms such as IHS (Intensity, Hue, and Saturation).


Wavelet Transform, Remote Sensing, Image Fusion, IHS

Cite This Paper

Shengzhong Zhang. Remote Sensing Image Fusion Based on Wavelet Transform. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 2: 1-9. https://doi.org/10.25236/AJCIS.2023.060201.


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