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dc.contributor.authorSahoo, T-
dc.contributor.authorPatnaik, S-
dc.identifier.citationProceedings of the first International Conference on Emerging Trends in Engineering and Technology, 2008. ICETET '08, Nagpur India, P 100-105en
dc.identifier.uri 10.1109/ICETET.2008.99-
dc.descriptionCopyright for the paper belongs to IEEEen
dc.description.abstractIn this paper an image fusion technique is developed to remove clouds from satellite images. The proposed method involves an auto associative neural network based PCAT (principal component transform) and SWT (stationary wavelet transform) to remove clouds recursively which integrates complementary information to form a composite image from multitemporal images. Some evaluation measures are suggested and applied to compare our method with those of covariance based PCAT fusion method and WT-based one. The PSNR and the correlation coefficient value indicate that the performance of the proposed method is better than others. It also enhances the visual effect.en
dc.format.extent1268000 bytes-
dc.subjectcorrelation methodsen
dc.subjectimage fusionen
dc.subjectneural netsen
dc.subjectprincipal component analysisen
dc.subjectwavelet transformsen
dc.titleCloud Removal from Satellite Images Using Auto Associative Neural Network and Stationary Wevlet Transformen
Appears in Collections:Conference Papers

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