Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 831-835, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATION RECONSTRUCTION AND RESOLUTION ENHANCEMENT
X. Meng1, H. Shen1,4, Q. Yuan2,4, H. Li1, and L. Zhang3,4 1School of Resource and Environmental Sciences, Wuhan University, China
2School of Geodesy and Geomatics, Wuhan University, China
3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
4Collaborative Innovation Center of Geospatial Technology, Wuhan University, China
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.
Conference paper (PDF, 1618 KB)


Citation: Meng, X., Shen, H., Yuan, Q., Li, H., and Zhang, L.: AN INTEGRATED FUSION FRAMEWORK FOR JOINT INFORMATION RECONSTRUCTION AND RESOLUTION ENHANCEMENT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 831-835, https://doi.org/10.5194/isprs-archives-XLII-2-W7-831-2017, 2017.

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