Research Papers

Method for reconstructing the pixel missing region on remote sensing images

[+] Author Affiliations
Weiliang Fan, Weimin Ju

Nanjing University, International Institute of Earth System Science, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210093, China

Nanjing University, International Institute for Earth System Science, Nanjing 210093, China

Zhujun Gu

Nanjing Xiaozhuang University, School of Bio-Chemical and Environmental Engineering, Nanjing 211171, China

J. Appl. Remote Sens. 7(1), 073536 (Jul 15, 2013). doi:10.1117/1.JRS.7.073536
History: Received February 18, 2013; Revised May 5, 2013; Accepted June 13, 2013
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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.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Weiliang Fan ; Weimin Ju and Zhujun Gu
"Method for reconstructing the pixel missing region on remote sensing images", J. Appl. Remote Sens. 7(1), 073536 (Jul 15, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073536


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