An integrated fusion framework for joint information reconstruction and resolution enhancement

6Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free