Fusion of Satellite Images in Transform Domain

Authors

  • Venkatesh H visvesvaraya technological university, India

DOI:

https://doi.org/10.18063/som.v0i0.610

Keywords:

Image Fusion, Discrete Wavelet Transforms, Fast Discrete Curvelet Transforms, Principal Component Analysis and Guided Filtering.

Abstract

Unique—Image fusion in light of the wavelet and fourier trans-form comes about rich multispectral points of interest yet gives less spatial subtle elements from source images. Wavelet transform performs well at straight highlights yet not at non-direct discontinuities since Wavelets don't utilize the geometric properties of structures. Curvelet transforms defeat such troubles in include rep-resentation. A novel Image fusion rule by means of high pass balance utilizing Local Magnitude Ratio (LMR) in Fast Discrete Curvelet Transforms domain (FDCT) and Discrete wavelet transform (DWT) is characterized. Indian Remote Sensing Geo satellite images are utilized for MS and Pan images. This fusion rule creates HR multispectral image with high spatial resolution. This technique is contrasted and wavelet, Principal Component Analysis (PCA), Fast Discrete Curvelet Transforms domain fusion strategies. Master postured technique spatially performs alternate strategies and results rich multispectral information.

Author Biography

Venkatesh H, visvesvaraya technological university, India

Venkatesh H

M.Tech in Digital communication

Research scholar

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Published

2018-09-04

Issue

Pre-published article

Section

Articles

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