AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATION RECONSTRUCTION AND RESOLUTION ENHANCEMENT

Meng, X.; Shen, H.; Yuan, Q.; Li, H.; Zhang, L.

In this paper, an integrated fusion framework for joint information reconstruction and resolution enhancement is proposed. In the proposed framework, an integrated variational model based on multi-source and multi-temporal remote sensing images is constructed, which is able to simultaneously achieve resolution enhancement and joint cloud and cloud shadow removal. In addition, the ground feature changes between multi-temporal scenes are comprehensively considered. Through this integrated framework, a promising cloud and cloud shadow free fused image with both high spatial and spectral resolutions is obtained. The experimental results confirm the effectiveness of the proposed method.

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Meng, X. / Shen, H. / Yuan, Q. / et al: AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATION RECONSTRUCTION AND RESOLUTION ENHANCEMENT. 2017. Copernicus Publications.

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