A review of applying second-generation wavelets for noise removal from remote sensing data.

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A review of applying second-generation wavelets for noise removal from remote sensing data.

The processing of remotely sensed data includes compression, noise reduction, classification, feature extraction, change detection and any improvement associated with the problems at hand. In the literature, wavelet methods have been widely used for analysing remote sensing images and signals. The s...

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Bibliographic Details
Main Authors:	Mohd Shafri, Helmi Zulhaidi, Ebadi, Ladan, Mansor, Shattri, Ashurov, Ravshan
Format:	Article
Language:	English English
Published:	2013
Online Access:	http://psasir.upm.edu.my/id/eprint/28509/ http://psasir.upm.edu.my/id/eprint/28509/1/A%20review%20of%20applying%20second.pdf

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