The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W7
https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017
13 Sep 2017
 | 13 Sep 2017

AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATION RECONSTRUCTION AND RESOLUTION ENHANCEMENT

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

Keywords: Integrated Framework, Image Fusion, Information Reconstruction, Resolution Enhancement, Clouds, Cloud Shadows

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.