Image Fusion Technique for Remote Sensing Image Enhancement

2014 ◽  
pp. 235-242
Author(s):  
B. Saichandana ◽  
S. Ramesh ◽  
K. Srinivas ◽  
R. Kirankumar
Keyword(s):  
Remote Sensing ◽  
Image Fusion ◽  
Image Enhancement ◽  
Remote Sensing Image ◽  
Fusion Technique ◽  
Image Fusion Technique

Covariance intersection based image fusion technique with application to pansharpening in remote sensing

2010 ◽  
Vol 180 (18) ◽  
pp. 3434-3443 ◽  
Author(s):  
Qing Guo ◽  
Siyue Chen ◽  
Henry Leung ◽  
Shutian Liu
Keyword(s):  
Remote Sensing ◽  
Image Fusion ◽  
Fusion Technique ◽  
Covariance Intersection ◽  
Image Fusion Technique

An Integrated Image Fusion Technique for Boosting the Quality of Noisy Remote Sensing Images

2007 ◽  
Author(s):  
M. E. Nasr ◽  
S. M. Elkaffas ◽  
T. A. El-Tobely ◽  
A. M. Ragheb ◽  
F. E. Abd El-Samie
Keyword(s):  
Remote Sensing ◽  
Image Fusion ◽  
Remote Sensing Images ◽  
Fusion Technique ◽  
Image Fusion Technique

scholarly journals Performance of Spatial Frequency Discrete Wavelet Transform Based Remote Sensing Image Fusion Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 7968-7978
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Spatial Frequency ◽  
Image Fusion ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Fusion Algorithm ◽  
Fusion Technique ◽  
Image Fusion Technique ◽  
Better Than

The high sensor cost for producing images with superior spectral and spatial qualities in remote sensing application have led to the development of image fusion algorithms. Image fusion technique combines a Panchromatic image and a Multispectral image with an aim to produce images with excellent spatial and spectral qualities. One of the major factors that affect the performance of any image fusion algorithm is the capability of the algorithm in extracting the spatial and spectral data from the respective images and how effective the so extracted information is blended together. One of the recently developed spectral domain algorithm to perform image fusion in remote sensing applications is Spatial Frequency Discrete Wavelet Transform abbreviated as SFDWT. The excellence of SFDWT image fusion algorithm is already proven better than the prevailing algorithms based on Discrete Wavelet Transform. This paper is coined with an eye to realize the performance of SFDWT based image fusion algorithm with respect to IHS-DWT, which being an enhanced form of a typical DWT based image fusion algorithm. The performance of SFDWT and IHS-DWT based image fusion algorithms will be evaluated by applying both techniques in the fusion of urban images received from Pléiades sensors with 1:4 resolution ratio using qualitative and quantitative image quality assessment methods. The consequence of varying the decomposition level on the quality of the images produced using SFDWT image fusion technique and three variants of IHS-DWT techniques based on substitution, averaging and maximum selection will be also evaluated. From the experimental analysis done using MATLAB simulation, it will be vivid that images obtained using image fusion algorithm based on SFDWT are much better than that obtained using IHS-DWT technique with excellent spatial and spectral qualities

Sign in / Sign up

Export Citation Format

Share Document