Image fusion using multiresolution analysis

Author

Park, Jong-Hyun ; Kim, Kyoung-Ok ; Yang, Young-Kyu

Author_Institution

Image Process. Dept., ETRI-Comput. & Software Technol. Lab., Taejon, South Korea

Volume

2

fYear

2001

fDate

2001

Firstpage

864

Abstract

The objective of this study is to propose multiresolution data fusion scheme using multiresolution analysis (MRA). Three techniques compared, respectively based on Haar wavelet basis (HWB), Daubechies wavelet basis (DWB), and IHS transform. Daubechies wavelet basis (DWB) is far more efficient than the HWB and IHS transform, thus establishing the advantages for data fusion of formally multiresolution analysis. DWB is best for image sharpening and to maintain the information of original data. Especially, Daubechies wavelet basis is able to enhance image sharpening and preserve spectral information

Keywords

geophysical signal processing; geophysical techniques; image enhancement; image processing; image resolution; remote sensing; sensor fusion; terrain mapping; wavelet transforms; Daubechies wavelet basis; Haar wavelet basis; IHS transform; data fusion scheme; geophysical measurement technique; image enhancement; image fusion; image processing; image sharpening; land surface; multiresolution analysis; remote sensing; sensor fusion; spectral information preservation; terrain mapping; Discrete wavelet transforms; Image fusion; Multiresolution analysis; Remote sensing; Satellites; Spatial resolution; Spectral analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976662

Filename

976662