Title :
Panchromatic and multispectral images fusion based on modified GS-SWT
Author :
Xiaochen Lu ; Junping Zhang
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Fusion of remote sensing images has received considerable attention during the last two decades, due to the contradiction between the spatial and spectral resolutions of remote sensing images. In this paper, a new fusion method based on Modified Gram-Schmidt (MGS) and stationary wavelet transform (SWT) has been presented to merge multispectral and panchromatic images. In order to show the effectiveness of the proposed method, experiments have been conducted on two datasets of QuickBird and WorldView-II, compared with several typical methods. Experimental results show that the proposed method performs better than the other methods both in the enhancement of spatial details and the preservation of spectral information.
Keywords :
image fusion; image processing; remote sensing; wavelet transforms; QuickBird dataset; WorldView-II dataset; fusion method; merge multispectral image; merge panchromatic image; method effectiveness; modified GS-SWT; modified Gram-Schmidt; multispectral image fusion; panchromatic image fusion; remote sensing image fusion; remote sensing image spatial resolution contradiction; remote sensing image spectral resolution contradiction; spatial detail enhancement; spectral information preservation; stationary wavelet transform; Approximation methods; Image fusion; Remote sensing; Spatial resolution; Wavelet transforms; Image fusion; Modified Gram-Schmidt; Multispectral; Stationary Wavelet Transform;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946988