Abstract
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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CITATION STYLE
Meng, X., Shen, H., Yuan, Q., Li, H., & Zhang, L. (2017). An integrated fusion framework for joint information reconstruction and resolution enhancement. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 42, pp. 831–835). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017
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