Abstract
The study is to compare the performance of different image fusion techniques for the enhancement of an urban features and coastal data. The goal is to obtain high resolution multispectral image which combines the spectral characteristic of low resolution data with high the spectral resolution of the panchromatic image. For the data fusion, IHS (Intensity-Hue-Saturation), DWT (Discrete Wavelet Transformation), PCA (Principal Component Analysis),BT (Brovey Transform), MT (Multiplicative Transform) and DWT-HIS. Visual and statistical analyses prove that the techniques present here is clearly better for preserving the spectral properties with improve spatial data.
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Jayanth, J., Kumar, T.A., Koliwad, S. (2012). Comparative Analysis of Image Fusion Techniques in Remote Sensing. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_12
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DOI: https://doi.org/10.1007/978-3-642-35326-0_12
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