Remote sensing image fusion using Gramian as a rule of fusion
| Autor: | Arash Golibagh Mahyari, Mehran Yazdi |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Fusion
Dependency (UML) Pixel Computer science business.industry Linear dependency ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Remote sensing image fusion Image (mathematics) Computer Science::Computer Vision and Pattern Recognition Line (geometry) Computer vision Artificial intelligence Electrical and Electronic Engineering business Gramian matrix |
| Zdroj: | International Journal of Electronics. 98:279-287 |
| ISSN: | 1362-3060 0020-7217 |
| DOI: | 10.1080/00207217.2010.520153 |
| Popis: | In this article, an approach based on linear dependency for remote sensing image fusion is proposed. This linear dependency is considered through a new concept using a Gram matrix. The main advantage of the proposed fusion method is the exploitation of the dependency between neighbouring pixels that can clearly show the existence of a pattern in the image. This approach fuses the images coming from different sensors and takes advantage of the line features of the source images more effectively. The experimental results demonstrate that this method performs better than the classical fusion methods in both visual aspects and objective evaluations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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