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

被引：0
|
作者：
Jing, Yuanshu [1 ]
Zhang, Huijun [1 ]
Wang, Jin [1 ]
Li, Yacun [2 ]
Toshiaki, Ichinose [3 ]
机构：
[1] Nanjing Univ Info Sci & Tech, Coll Appl Meteorol, Nanjing 210044, Peoples R China
[2] Inst Meteorol Studies, Meteorol Bur Jiangsu, Nanjing 210002, Peoples R China
[3] Natl Inst Environm Studies, Dept Social & Environm, Ibaraki, Japan
来源：
2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS | 2009年
关键词：
Image fusion; Wavelet transform; Eutrophication; Quality indicators;
D O I：
10.1109/ETTandGRS.2008.52
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：210 / +
页数：2
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