Volume 8, Issue 1, March 2020, Page: 1-10
A Survey of Multi Sensor Satellite Image Fusion Techniques
V. R. S. Mani, Department of Electronics and Communication Engineering, National Engineering College, Kovilpatti, India
Received: Feb. 29, 2020;       Accepted: Mar. 16, 2020;       Published: May 27, 2020
DOI: 10.11648/j.ijssn.20200801.11      View  233      Downloads  89
Abstract
Multi sensor image fusion is the technique used to combine heterogeneous images of the same scene obtained using different sensors. The objective of image fusion is to produce a single image containing the best aspects of the fused images. Some desirable aspects of Image Fusion include high spatial resolution and high spectral resolution (multispectral and panchromatic satellite images), areas in focus (microscopy images), functional and anatomic information (medical images), different spectral information (optical and infrared images), or color information and texture information (multispectral and synthetic aperture radar images). Image fusion can also be used for providing some protection against illegal copying by embedding water-marks. For all of the schemes, it is assumed that the images have been co-registered and resampled. The aim of this survey is to present a review of publications related to Multi Sensor Image Fusion. This paper paints a comprehensive picture of Multi Sensor Image Fusion methods and their applications. This paper is an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application. Methods are classified according to the different aspects of Multi Sensor Image Fusion.
Keywords
Image Fusion, Multi Sensor, Spatial, Spectral, Wavelet, Unmixing, Hybrid
To cite this article
V. R. S. Mani, A Survey of Multi Sensor Satellite Image Fusion Techniques, International Journal of Sensors and Sensor Networks. Vol. 8, No. 1, 2020, pp. 1-10. doi: 10.11648/j.ijssn.20200801.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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