Method for reconstructing the pixel missing region on remote sensing images

Weiliang Fan; Weimin Ju; Zhujun Gu

doi:10.1117/1.JRS.7.073536

15 July 2013 Method for reconstructing the pixel missing region on remote sensing images

Weiliang Fan, Weimin Ju, Zhujun Gu

Author Affiliations +

Funded by: National Science Foundation of China, National Basic Research Program of China

Journal of Applied Remote Sensing, Vol. 7, Issue 1, 073536 (July 2013). https://doi.org/10.1117/1.JRS.7.073536

Abstract

Reconstruction of the pixel missing regions on remote sensing images is an important research issue in remote sensing image processing. These regions due to clouds and stripes are generally processed using the traditional synthesis and image inpainting techniques. Such processing can also be implemented with multispectral/multitemporal based methods. However, these methods have some limitations in applications, such as the sharpened borders between the filled regions and their neighbors and the requirement for multiple images. A method is developed for reconstructing pixel missing regions using a corresponding recent term image (reference image) acquired from different sensors with different spectral bands. A case study shows that the new method obviously outperforms the replacement method.

Citation Download Citation

Weiliang Fan, Weimin Ju, and Zhujun Gu "Method for reconstructing the pixel missing region on remote sensing images," Journal of Applied Remote Sensing 7(1), 073536 (15 July 2013). https://doi.org/10.1117/1.JRS.7.073536

Published: 15 July 2013

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