Image fusion is capable of integrating different imagery to produce more information than can be ... more Image fusion is capable of integrating different imagery to produce more information than can be derived from a single sensor. Preservation of spectral information and enhancement of spatial resolution are regarded as important issues in remote sensing satellite image fusion. In this paper, a component substitution partial replacement is proposed to merge a high-spatial-resolution panchromatic (PAN) image with a multispectral image. This method generates high-/low-resolution synthetic component images by partial replacement and uses statistical ratio-based high-frequency injection. Remote sensing satellite image, such as IKONOS-2 were employed in the evaluation. Experiments showed that this approach can resolve spectral distortion problems and successfully conserve the spatial information of a PAN image. Thus, the fused image obtained from the proposed method gave higher fusion quality than the images from some other methods.
Image fusion is capable of integrating different imagery to produce more information than can be ... more Image fusion is capable of integrating different imagery to produce more information than can be derived from a single sensor. Preservation of spectral information and enhancement of spatial resolution are regarded as important issues in remote sensing satellite image fusion. In this paper, a component substitution partial replacement is proposed to merge a high-spatial-resolution panchromatic (PAN) image with a multispectral image. This method generates high-/low-resolution synthetic component images by partial replacement and uses statistical ratio-based high-frequency injection. Remote sensing satellite image, such as IKONOS-2 were employed in the evaluation. Experiments showed that this approach can resolve spectral distortion problems and successfully conserve the spatial information of a PAN image. Thus, the fused image obtained from the proposed method gave higher fusion quality than the images from some other methods.
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Papers by Annes Philip