Satellite Image Fusion with Wavelet Decomposition
نویسندگان
چکیده
To verify the features of an object or an area, there is a need to merge panchromatic images with high spatial resolution and multispectral images with high spectral resolution. Standard fusion methods like IHS transform are not satisfactory, because they distort spectral characteristics of the multispectral data. In wavelet methods, the aim is to decompose the image into subbands, which have the low resolution image and detail information and inject the high-resolution information to the multispectral image. In this study, wavelet transform technique known as "à trous" algorithm is used and results have been evaluated using SPOT and IRS data. Methods based on wavelet transform give clearly better results by means of preservation of spectral characteristics.
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