Fusion of remote sensing images via lattice filters

N. H. Kaplan, I. Erer, S. Kent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

A new image fusion algorithm based on the subband decomposition of the source images using 2-D separable lattice filters is presented. The method is used for the fusion of multispectral and SAR data. The source images are decomposed into subband images using separable lattice filters, these images are combined in the subband domain using a predefined rule, then the fused image is obtained by the inverse lattice filter.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007
Pages285-288
Number of pages4
DOIs
Publication statusPublished - 2007
Event3rd International Conference on Recent Advances in Space Technologies, RAST 2007 - Istanbul, Turkey
Duration: 14 Jun 200716 Jun 2007

Publication series

NameProceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007

Conference

Conference3rd International Conference on Recent Advances in Space Technologies, RAST 2007
Country/TerritoryTurkey
CityIstanbul
Period14/06/0716/06/07

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