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An Area-Based Image Fusion Scheme for the Integration of SAR and Optical Satellite Imagery

机译:SAR和光学卫星图像融合的基于区域的图像融合方案

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摘要

The task of enhancing the perception of a scene by combining information captured from different image sensors is usually known as multisensor image fusion. This paper presents an area-based image fusion algorithm to merge SAR (Synthetic Aperture Radar) and optical images. The co-registration of the two images is first conducted using the proposed registration method prior to image fusion. Segmentation into active and inactive areas is then performed on the SAR texture image for selective injection of the SAR image into the panchromatic (PAN) image. An integrated image based on these two images is generated by the novel area-based fusion scheme, which imposes different fusion rules for each segmented area. Finally, this image is fused into a multispectral (MS) image through the hybrid pansharpening method proposed in previous research. Experimental results demonstrate that the proposed method shows better performance than other fusion algorithms and has the potential to be applied to the multisensor fusion of SAR and optical images.
机译:通过组合从不同图像传感器捕获的信息来增强场景感知的任务通常称为多传感器图像融合。本文提出了一种基于区域的图像融合算法,将SAR(合成孔径雷达)和光学图像进行融合。在图像融合之前,首先使用建议的配准方法对两个图像进行共配准。然后,在SAR纹理图像上分割为有效区域和无效区域,以将SAR图像选择性注入全色(PAN)图像中。基于这两个图像的集成图像是通过基于区域的新颖融合方案生成的,该方案为每个分割区域强加了不同的融合规则。最后,通过先前研究中提出的混合全锐化方法将此图像融合为多光谱(MS)图像。实验结果表明,该方法具有比其他融合算法更好的性能,并有可能应用于SAR和光学图像的多传感器融合。

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