DocumentCode :
143396
Title :
Automatic cloud removal for Landsat 8 OLI images using cirrus band
Author :
Meng Xu ; Xiuping Jia ; Pickering, Mark
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2511
Lastpage :
2514
Abstract :
The detection of cirrus cloud has historically been difficult due to the lack of a 1.375μm wavelength band in earlier Landsat ETM+ imagery. Landsat 8 OLI has addressed this problem by adding a new cirrus band at this wavelength. This paper presents a study of the effectiveness of utilizing the newly available data for this purpose. An image-based method is developed for cirrus cloud contamination correction. The relationship between a visible or infrared band and the cirrus band is estimated via a linear regression using the data in a homogenous land cover area. The key issue of how to automatic identify homogenous background from the cirrus contaminated data is addressed. The images corrected by our method show satisfactory quality.
Keywords :
clouds; geophysical image processing; geophysical techniques; land cover; remote sensing; Landsat 8 OLI; Landsat ETM+ imagery; automatic cloud removal; cirrus cloud contamination correction; cirrus cloud detection; homogenous land cover area; image-based method; infrared band; linear regression; visible band; wavelength band; Atmospheric modeling; Clouds; Contamination; Earth; Remote sensing; Satellites; Water pollution; Landsat 8; OLI; cirrus cloud removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946983
Filename :
6946983
Link To Document :
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