SATTELITE IMAGE FUSION IN FAST DISCRETE CURVELET TRANSFORM DOMAIN

Authors

  • Shaheenbanu M S PG student, M.tech in Digital Electronic, Department of E&CE, SDM college of Engineering and Technology, Dharwad
  • Renuka korti Assistant Professor, Department of E&CE, SDM college of Engineering and Technology, Dharwad

Keywords:

Image Fusion, Fast Discrete Curvelet Transforms, Local Magnitude Ratio (LMR)

Abstract

Image fusion based on the Fourier and wavelet transform methods retain rich multispectral details but less spatial details from
source images. Wavelets perform well only at linear features but not at non linear discontinuities because they do not use the
geometric properties of structures. Curvelet transforms overcome such difficulties in feature representation. In this paper, we
define a novel fusion rule via high pass modulation using Local Magnitude Ratio (LMR) in Fast Discrete Curvelet Transforms
(FDCT) domain. For experimental study of this method Indian Remote Sensing (IRS) Resourcesat-1 LISS IV satellite sensor image
of spatial resolution of 5.8m is used as low resolution (LR) multispectral image and Cartosat-1 Panchromatic (Pan) of spatial
resolution 2.5m is used as high resolution (HR) Pan Image. This fusion rule generates HR multispectral image at 2.5m spatial
resolution.

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Published

2015-05-25

How to Cite

Shaheenbanu M S, & Renuka korti. (2015). SATTELITE IMAGE FUSION IN FAST DISCRETE CURVELET TRANSFORM DOMAIN. International Journal of Advance Research in Engineering, Science & Technology, 2(5), 257–260. Retrieved from https://ijarest.org/index.php/ijarest/article/view/180

Issue

Vol. 2 No. 5 (2015): Volume: 02, Issue: 05 - May, 2015.

Section

Articles