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2018 | OriginalPaper | Chapter

Multiresolution Filter Banks for Pansharpening Application

Authors : Hind Hallabia, Abdelaziz Kallel, Ahmed Ben Hamida

Published in: Advances in Multirate Systems

Publisher: Springer International Publishing

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Abstract

In this chapter, the two-channel filter bank is considered. Fundamental concept of filter bank theory and the analysis/synthesis configuration and different solutions are revisited. Such filter structures have been studied in many applications including subband coding, speech processing, image compression and eventually in pansharpening. This chapter is dedicated to the pansharpening (i.e., combining remotely sensed data at different resolution) application. In this context, a special structure of filter bank is introduced in Hallabia et al.(2016) in order to extract the high-frequency details from the panchromatic (PAN) image and transfer them into the up-sampled multispectral (MS) images. Based on the physics of the imaging sensor, the low-pass analysis filter is assumed to approximate the modulation transfer function (MTF). Under the perfect reconstruction property, the complementary high-pass filter (used to extract the high-frequency details) is conceived as the result of an optimization procedure. A qualitative and quantitative comparative study is discussed.

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Metadata
Title
Multiresolution Filter Banks for Pansharpening Application
Authors
Hind Hallabia
Abdelaziz Kallel
Ahmed Ben Hamida
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-59274-9_5