An IHS based Image Fusion over Satellite Images

Authors

  • Vikas R. Mendpara Department of Electronics and Communication EngineeringDepartment of Electronics and Communication Engineering Parul Institute of Engineering and Technology,Limda, VadodaraParul Institute of Engineering and Technology,Limda, Vadodara
  • Punit S. Raninga Department of Electronics and Communication EngineeringDepartment of Electronics and Communication Engineering Parul Institute of Engineering and Technology,Limda, VadodaraParul Institute of Engineering and Technology,Limda, Vadodara

Keywords:

Image Fusion, Multispectral image (MS), Panchromatic image (PAN), Pan -sharpening, IHS Transform, Color distortion

Abstract

Image fusion is the process of combining relevant information from two or more images into a single image.
The resulting image will be more informative than any of the input images. Image fusion of Multispectral image and
panchromatic image is called as Pan-sharpening. Pan-sharpening combines a low-resolution color multispectral image
with a high-resolution grayscale panchromatic image to create a high-resolution fused color image. “Pan Sharpening”
is shorthand for “Panchromatic (PAN) sharpening”. It means using a panchromatic (single band) image to “sharpen” a
multispectral image. In this sense, to “sharpen” means to increase the spatial resolution of a multispectral image. A
multispectral image contains a higher degree of spectral resolution than a panchromatic image, while often a
panchromatic image will have a higher spatial resolution than a multispectral image. The Intensity-Hue-Saturation
(IHS) method is a popular pan-sharpening method used for its efficiency and high spatial resolution. However, the final
image produced experiences spectral distortion (Color distortion). In this paper, we introduce IHS methods with
modifications to improve the spectral quality of the image. This paper explains the IHS, GIHS, AIHS and EAIHS
methods for quality fusion techniques. The quality of the fusion will be decided by the parameters CC, RMSE, RASE,
ERGAS,SAM, UIQI and SC

Published

2015-04-25

How to Cite

Vikas R. Mendpara, & Punit S. Raninga. (2015). An IHS based Image Fusion over Satellite Images. International Journal of Advance Engineering and Research Development (IJAERD), 2(4), 342–348. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/640