Digital Signal Processing

   

Pixel Level Satellite Image Fusion Using Component Substitution Partial Replacement

Authors: Asha G, Annes Philip

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.

Comments: 10 Pages.

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Submission history

[v1] 2012-08-18 13:03:56

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