Research Papers

Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery

[+] Author Affiliations
Daxiang Zhang

University of Connecticut, Center for Environmental Sciences and Engineering, Department of Geography, Storrs, Connecticut 06269

Chuanrong Zhang

University of Connecticut, Center for Environmental Sciences and Engineering, Department of Geography, Storrs, Connecticut 06269

Weidong Li

University of Connecticut, Center for Environmental Sciences and Engineering, Department of Geography, Storrs, Connecticut 06269

Robert Cromley

University of Connecticut, Center for Environmental Sciences and Engineering, Department of Geography, Storrs, Connecticut 06269

Dean Hanink

University of Connecticut, Center for Environmental Sciences and Engineering, Department of Geography, Storrs, Connecticut 06269

Daniel Civco

University of Connecticut, Department of Natural Resources and the Environment, Storrs, Connecticut 06269

David Travis

University of Wisconsin-Whitewater, Department of Geography and Geology, Whitewater, Wisconsin 53190

J. Appl. Remote Sens. 8(1), 083698 (Jan 06, 2014). doi:10.1117/1.JRS.8.083698
History: Received January 30, 2013; Revised November 29, 2013; Accepted December 4, 2013
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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.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Daxiang Zhang ; Chuanrong Zhang ; Weidong Li ; Robert Cromley ; Dean Hanink, et al.
"Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery", J. Appl. Remote Sens. 8(1), 083698 (Jan 06, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083698


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