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

被引：4

作者：

Zhang, Daxiang ^{[1
]}

Zhang, Chuanrong ^{[1
]}

Li, Weidong ^{[1
]}

Cromley, Robert ^{[1
]}

Hanink, Dean ^{[1
]}

Civco, Daniel ^{[2
]}

Travis, David ^{[3
]}

机构：

[1] Univ Connecticut, Ctr Environm Sci & Engn, Dept Geog, Storrs, CT 06269 USA

[2] Univ Connecticut, Dept Nat Resources & Environm, Storrs, CT 06269 USA

[3] Univ Wisconsin, Dept Geog & Geol, Whitewater, WI 53190 USA

来源：

JOURNAL OF APPLIED REMOTE SENSING | 2014年 / 8卷

关键词：

restoration; contrail; remotely sensed images; geostatistics; cokriging; CONTIGUOUS UNITED-STATES; AUTO-CORRELATION; DIGITAL IMAGES; SATELLITE DATA; AVHRR-DATA; CLIMATE; CIRRUS; COVER; REGULARIZATION; VEGETATION;

D O I：

10.1117/1.JRS.8.083698

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

引用

页数：19

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