By Topic

Remote Sensing Images Fusion Algorithm Based on Shearlet Transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chengzhi Deng ; Dept. of Comput. Sci. & Technol., Nanchang Inst. of Technol., Nanchang, China ; Shengqian Wang ; Xi Chen

The shearlet can give an asymptotic optimal representation of edges and contours in images by virtue of it characteristics of good multiresolution and high directionality. In this paper, a novel image fusion strategy is presented for panchromatic high resolution images and multispectral images in shearlet transform domain. The fusion algorithm use the intensity component addition strategy based on LHS transform to preserve spatial resolution and color content. The experimental results demonstrate that the proposed algorithm, compared to intensity-hue-saturation (IHS) transform technique, corresponding wavelet transform-based fusion method, and contourlet transform-based fusion method, can improve spatial resolution and keep spectral information. In addition, the proposed algorithm can extract more useful information from source images, and make the fused image with higher performance in terms of both visual quality and objective evaluation criteria.

Published in:

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on  (Volume:3 )

Date of Conference:

4-5 July 2009