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.
Highlights
With the recent rapid developments in the field of sensing technologies, a wide variety of imaging sensors are available, but it is impossible to capture an image that includes all salient features using only one sensor
From the above survey it becomes clear that all the works that were carried out in Multi Sensor Image fusion are aimed at achieving, a better spatial resolution at the same time preserving spectral information with minimal distortion
Thecapabilities of the images can be enhanced iftheadvantages of both high spatial and spectral resolutioncan be integrated into one single image
Summary
Email address: To cite this article: V. A Survey of Multi Sensor Satellite Image Fusion Techniques. International Journal of Sensors and Sensor Networks.
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