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Multi-Source Remote-Sensing Image Fusion Based on Wavelet Transform and Particle Swarm Optimization

Chen Yang, Wei Yan

Abstract


On the background remote-sensing image fusion, this paper respectively explores wavelet transform, particle swarm optimization (PSO) and HIS transform and it also analyzes and validates that the fused image obtained from wavelet transform and PSO is better at maintaining the spectral information than the detail information of the source image, while HIS transform is better at preserving the spatial details of the source image. Therefore, this paper improves the maintenance of multi-spectral information and the performance of detail information of the fused image by integrating these two methods. The analysis of the experimental results verifies the feasibility and effectiveness of such method and it can achieve a more ideal effect.

Keywords


Wavelets transform, particle swarm optimization, remote-sensing image fusion.

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