DWT based Pan-sharpening of Low Resolution Multispectral Satellite Images

G. Mamatha*, M.V. Lakshmaiah**, V. Sumalatha***, S. Varadarajan****
* Assistant Professor, ECE Department, JNTUA College of Engineering, Anantapur, AP, India.
** Assistant Professor, ECE Department, SK University, Anantapur, AP, India.
*** Associate Professor, ECE Department, NTUA College of Engineering, Anantapur, AP, India.
**** Professor, Department of ECE, SVUCE, Tirupati, AP, India.
Periodicity:April - June'2014
DOI : https://doi.org/10.26634/jip.1.2.2827

Abstract

In this paper, a technique for enhancing the low resolution multi spectral image using Discrete Wavelet Transform (DWT) is proposed with the help of the corresponding high resolution panchromatic image. Image fusion, also called pansharpening, is a technique used to integrate the geometric detail of a high-resolution panchromatic (PAN) image and the color information of a low-resolution Multi spectral (MS) image to produce a high-resolution MS image. Remote Sensing systems, particularly those deployed on satellites, provide a redundant and consistent view of the Earth. In order to meet the requirements of different remote sensing applications, the systems offer a wide range of spectral, spatial radiometric and temporal resolutions. In general, sensors characterized with high spectral resolution, do not have an optimal spatial resolution, which may be inadequate to specific task identification in spite of its good spectral resolution. In panchromatic image with high spatial resolution, detailed geometric features can be easily recognized, while the multispectral images contain richer spectral information.

Keywords

Image Fusion, Discrete Wavelet Transform (DWT), Panchromatic image.

How to Cite this Article?

Mamatha, G., Lakshmaiah, M.V., Sumalatha, V., and Varadarajan, S. (2014). DWT based Pan-Sharpening of Low Resolution Multispectral Satellite Images. i-manager’s Journal on Image Processing, 1(2), 22-29. https://doi.org/10.26634/jip.1.2.2827

References

[1]. D. Lee Fugal (2009). “Conceptual Wavelets in Digital Signal Processing”. The Space & Signals Technical Publishing, San Diego, CA, U.S.
[ 2 ] . GeneRose,PAN Sharpening,Retrived from http://www.imstrat.ca/uploads/files/brochures/pansharpe ning.pdf.
[3]. Israa Amro, Javier Mateos, Miguel Vega (2011). A survey of classical methods and new trends in pansharpening of multispectral images. The EURASIP Journal on Advances in Signal Processing.
[4]. L. Wald (1999). Some terms of reference in data fusion, IEEE Trans. Geosci. Remote Sens., Vol. 37, No. 3, pp. 1190–1193.
[5]. S. Mallat (1999), A Wavelet Tour of Signal Processing, Academic Press.
[6]. Lucien Wald (2000). Fusion of Earth data: merging point measurements, raster maps and remotely sensed images, Sophia Antipolis, France, January 26-28.
[7]. Melissa strait , Sheida Rahmani, daria Markurjev (2008). Evaluation of Pan-sharpening parameters, UCLA department of Mathematics.
[8]. Brian Alan Johnson, Ryutaro Tateishi and Nguyen Thanh Hoan (2012). “Satellite Image Pan-sharpening Using a Hybrid Approach for Object-Based Image Analysis”, ISPRS International Journal of Geo-Information, pp. 228 -241,2012.
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