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.
| Published in | International Journal of Sensors and Sensor Networks (Volume 8, Issue 1) |
| DOI | 10.11648/j.ijssn.20200801.11 |
| Page(s) | 1-10 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2020. Published by Science Publishing Group |
Image Fusion, Multi Sensor, Spatial, Spectral, Wavelet, Unmixing, Hybrid
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APA Style
V. R. S. Mani. (2020). A Survey of Multi Sensor Satellite Image Fusion Techniques. International Journal of Sensors and Sensor Networks, 8(1), 1-10. https://doi.org/10.11648/j.ijssn.20200801.11
ACS Style
V. R. S. Mani. A Survey of Multi Sensor Satellite Image Fusion Techniques. Int. J. Sens. Sens. Netw. 2020, 8(1), 1-10. doi: 10.11648/j.ijssn.20200801.11
AMA Style
V. R. S. Mani. A Survey of Multi Sensor Satellite Image Fusion Techniques. Int J Sens Sens Netw. 2020;8(1):1-10. doi: 10.11648/j.ijssn.20200801.11
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Download@article{10.11648/j.ijssn.20200801.11,
author = {V. R. S. Mani},
title = {A Survey of Multi Sensor Satellite Image Fusion Techniques},
journal = {International Journal of Sensors and Sensor Networks},
volume = {8},
number = {1},
pages = {1-10},
doi = {10.11648/j.ijssn.20200801.11},
url = {https://doi.org/10.11648/j.ijssn.20200801.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20200801.11},
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.},
year = {2020}
}
TY - JOUR T1 - A Survey of Multi Sensor Satellite Image Fusion Techniques AU - V. R. S. Mani Y1 - 2020/05/27 PY - 2020 N1 - https://doi.org/10.11648/j.ijssn.20200801.11 DO - 10.11648/j.ijssn.20200801.11 T2 - International Journal of Sensors and Sensor Networks JF - International Journal of Sensors and Sensor Networks JO - International Journal of Sensors and Sensor Networks SP - 1 EP - 10 PB - Science Publishing Group SN - 2329-1788 UR - https://doi.org/10.11648/j.ijssn.20200801.11 AB - 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. VL - 8 IS - 1 ER -
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