Image Fusion Using Wavelet Transforms for Monitoring Eutrophication of Taihu Lake in China

Author

Jing, Yuanshu ; Zhang, Huijun ; Wang, Jin ; Li, Yacun ; Toshiaki, Ichinose

Author_Institution

Coll. of Appl. Meteorol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing

Volume

1

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

210

Lastpage

213

Abstract

Image fusion techniques can improve the quality, and increase the application of satellite images. The wavelet transforms provides a preeminent approach for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. Three types of wavelet bases and four types of wavelet transforms are used to perform the fusion between MODIS and NOAA images. The results showed it is possible to fuse images with a large ratio of spatial resolution such as MODIS and NOAA images. Based on the criteria proposed for quality assessment, the Daubechies wavelet was best for wavelet decomposition and reconstruction. And the four fusing methods have different advantages in the reservation and enhance of image information.

Keywords

distortion; geophysical signal processing; hydrological techniques; image fusion; image resolution; lakes; remote sensing; spectral analysis; wavelet transforms; China; Taihu lake; eutrophication monitoring; image fusion; satellite image; spatial resolution; spectral content distortion; wavelet transform; Fuses; Image fusion; Image reconstruction; Lakes; MODIS; Monitoring; Quality assessment; Satellites; Spatial resolution; Wavelet transforms; Eutrophication; Image fusion; Quality indicators; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3563-0

Type

conf

DOI

10.1109/ETTandGRS.2008.52

Filename

5070135