6 January 2014 Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery
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Abstract
Although removing the pixels covered by contrails and their shadows and restoring the missing information at the locations in remotely sensed imagery are important to understand contrails’ effects on climate change, there are no such studies in the current literature. This study investigates the restoration of the missing information of the pixels caused by contrails in multispectral remotely sensed Landsat 5 TM imagery using a cokriging approach. Interpolation results and several validation methods show that it is practical to use the cokriging approach to restore the contrail-covered pixels in the multispectral remotely sensed imagery. Compared to ordinary kriging, the results are improved by taking advantage of both the spatial information in the original imagery and information from the secondary imagery.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Daxiang Zhang, Chuanrong Zhang, Weidong Li, Robert Cromley, Dean Hanink, Daniel Civco, David Travis, "Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery," Journal of Applied Remote Sensing 8(1), 083698 (6 January 2014). https://doi.org/10.1117/1.JRS.8.083698 . Submission:
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