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Journal of Applied Remote Sensing

Restoration of the missing pixel information caused by contrails in multispectral remotely sensed imagery
Author(s): Daxiang Zhang; Chuanrong Zhang; Weidong Li; Robert Cromley; Dean Hanink; Daniel Civco; David Travis
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Paper 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.

Paper Details

Date Published: 6 January 2014
PDF: 20 pages
J. Appl. Rem. Sens. 8(1) 083698 doi: 10.1117/1.JRS.8.083698
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Daxiang Zhang, Univ. of Connecticut (United States)
Chuanrong Zhang, Univ. of Connecticut (United States)
Weidong Li, Univ. of Connecticut (United States)
Robert Cromley, Univ. of Connecticut (United States)
Dean Hanink, Univ. of Connecticut (United States)
Daniel Civco, Univ. of Connecticut (United States)
David Travis, Univ. of Wisconsin-Whitewater (United States)

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