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