NDLI: Mapping and recovering cloud-contaminated area in multispectral satellite imagery with visible and near-infrared bands

Content Provider	IEEE Xplore Digital Library
Author	Yi-Shiang Shiu Meng-Lung Lin Tzu-How Chu
Copyright Year	2011
Description	Author affiliation: Department of Tourism, Aletheia University, No. 32, Zhen Li St., Danshui District, New Taipei City, 25103, Taiwan (Meng-Lung Lin) \|\| Department of Geography, National Taiwan University, No. 1 Sec. 4 Roosevelt Rd., Taipei 10617, Taiwan (Yi-Shiang Shiu; Tzu-How Chu)
Abstract	Cloud cover severely influences the accuracy of land use/cover mapping and biomass estimation with optical satellite imagery. This study integrated automated threshold selection algorithm (ATSA) and region growing to delineate unrecoverable thick cloud. Concerning hazy areas, Fourier analysis was used to generate haze filter to reduce haze interference and recover ground information. The result of thick cloud delineation shows the overall accuracy and kappa statistics are 94.75% and 0.883 separately. For the haze-off result, haze filter improves land cover classification and increases the overall accuracy and kappa statistics by about 4%. With NDVI results, the root-mean-square (RMS) between hazy and clear image is 0.21 while RMS between haze-off and clear image is 0.15. This study demonstrated that cloud processing only using Green, Red, NIR bands without cloud-free reference areas or imagery is sufficient for thick cloud delineation and can achieve some improvement in haze removal.
Starting Page	543
Ending Page	546
File Size	660593
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Clouds Remote sensing Information filters Histograms Optical filters Fourier analysis cloud removal land features interpretation region growing
Content Type	Text
Resource Type	Article

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