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Reseach Article

Saturation IHS Image Fusion: A New Method of Image Fusion

by Sreelekshmi A. N.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 14
Year of Publication: 2016
Authors: Sreelekshmi A. N.
10.5120/ijca2016912352

Sreelekshmi A. N. . Saturation IHS Image Fusion: A New Method of Image Fusion. International Journal of Computer Applications. 155, 14 ( Dec 2016), 11-15. DOI=10.5120/ijca2016912352

@article{ 10.5120/ijca2016912352,
author = { Sreelekshmi A. N. },
title = { Saturation IHS Image Fusion: A New Method of Image Fusion },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 14 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number14/26773-2016912352/ },
doi = { 10.5120/ijca2016912352 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:14.290112+05:30
%A Sreelekshmi A. N.
%T Saturation IHS Image Fusion: A New Method of Image Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 14
%P 11-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image fusion can be used as a tool to increase the spatial resolution. In that case the high resolution panchromatic imagery is fused with low-resolution often multi-spectral image data. The multispectral images are images created from the several narrow spectral bands. It contains all spectral (color information) details but not spatial details. Panchromatic images are single band images generally displayed as shades of gray. It contains all high spatial details (geometric) but not spectral details. Various fusion algorithms have been developed over the years. Image fusion methods can be broadly classified into two categories - spatial domain and transform domain methods. All these methods improve spatial or spectral resolutions. Hence, there is a requirement for development of newer techniques to fuse high resolution Cartosatseries data with high resolution of spatial and spectral details of all image data type

References
  1. T. M. Tu, S. C. Su, H. C. Shyu, and P. S. Huang, “A new look at IHS-like image fusion methods,” Inf. Fusion, vol. 2, no. 3, pp. 177–186, 2001.
  2. Wang Z., Ziou D., Armenakis C., Li D., and LiQ. “A Comparative Analysis of Image Fusion Methods”. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 6, June 2005 pp.1391-1402.
  3. Liao Y. C., Wang T. Y. and Zheng W. T., 1998. “Quality Analysis of Synthesized High Resolution Multispectral Imagery”.
  4. Gonzalez, R.C. And Woods, R.E., 2001. “Digital Image Processing “. Prentice Hall.
  5. Firouz Abdullah Al-Wassai1, N.V. Kalyankar, Ali A. Al-Zuky, “The IHS Transformations Based Image Fusion,” International Journal of Remote Sensing, Vol. 20, no. 3, JULY 19, 2011.
  6. Wen Doua, Yunhao Chenb,” An improved HIS image fusion method with high spectral fidelity,” The International Archives of the Photogrammetric, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7, no. 3, pp. 1253–1256, June 2008.
  7. Ming Tuet.al. ,“Efficient intensity-hue-saturation-based image fusion with saturation compensation “,IEEE Transactions on Optical engineering, Vol. 40, no. 5, pp. 720–728 ,May 2001.
  8. Sascha Klonus and Manfred Ehlers,” Performance of evaluation methods in image fusion”, 12th International Conference on Information Fusion, Vol. 16,pp. 1409-1416,July 6-9, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Image fusion pan chromatic image multispectral image spatial resolution spectral resolution