Abstract
This paper mainly addresses the problem of multipolar Synthetic Aperture Radar (SAR) and colorful optical images fusion by regarding them as multichannel images. Based on traditional wavelet-based and model-based fusion algorithms, the paper proposes a multi-channel image fusion algorithm based on a multi-multiturbo iterative method. Multi-multiframe is proposed to represent the original image information with multiple outputs from better information-separating viewpoints, and turbo iterative balances wavelet-based and model-based fusion. The approach is designed in this manner. First, Intensity-Hue-Saturation (IHS) transformation is applied to the SAR and optical images. Then, different fusion processes are used on corresponding components. Fusion based on multi-multi and turbo iterative is applied to the Intensity component whereas weighted fusion is applied to Hue and Saturation components. To get the final result, inverse IHS transformation is applied. Experimental results show that the proposed algorithm performs effectively in preserving useful complementary information between optical and SAR images.
Highlights
Synthetic Aperture Radar is a type of active remote sensor radar working on microwave band
Based on the discussion above and our previews work [8, 9], a multi-channel fusion algorithm based on a multimultiturbo iterative for the application of fusion of color optical images and multi-polar Synthetic Aperture Radar (SAR) images is proposed in this paper, which is essential for representing different content from better information-separating viewpoints
IHS transformation and multi-multi based turbo iterative are incorporated to address the fusion of color optical and multi-polar SAR images
Summary
Synthetic Aperture Radar is a type of active remote sensor radar working on microwave band. An inverse transformation is applied to produce the fusion result [4, 5] Another typical method is the statistical model-based method which models the production process of multisensor images and concomitant noises with a Local Linear Generative Model (LLGM). Based on the discussion above and our previews work [8, 9], a multi-channel fusion algorithm based on a multimultiturbo iterative for the application of fusion of color optical images and multi-polar SAR images is proposed in this paper, which is essential for representing different content from better information-separating viewpoints.
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