Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis

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Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis

Two methods of cloud masking tuned to tropical conditions have been developed, based on spectral analysis and Principal Components Analysis (PCA) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. In the spectral approach, thresholds were applied to four reflective bands (1, 2, 3, and 4)...

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Bibliographic Details
Main Authors:	Asmala, A., Shaun, Quegan
Format:	Article
Language:	English
Published:	Engineering, Technology & Applied Science Research 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utem.edu.my/id/eprint/3384/ http://eprints.utem.edu.my/id/eprint/3384/1/148-616-1-PB%5B1%5D_PUBLISHED_AT_INTERNET.pdf

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