Entropy-Based Block Processing for Satellite Image Registration
| Autor: | Ik Hyun Lee, Doo-Chun Seo, Tae-Sun Choi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Earth observation
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Physics and Astronomy Scale-invariant feature transform Image registration Image processing lcsh:Astrophysics Real image lcsh:QC1-999 image registration Computer Science::Computer Vision and Pattern Recognition Digital image processing electro-optics lcsh:QB460-466 Entropy (information theory) Computer vision lcsh:Q Artificial intelligence block processing business lcsh:Science Image resolution lcsh:Physics |
| Zdroj: | Entropy, Vol 14, Iss 12, Pp 2397-2407 (2012) Entropy Volume 14 Issue 12 Pages: 2397-2407 |
| ISSN: | 1099-4300 |
| Popis: | Image registration is an important task in many computer vision applications such as fusion systems, 3D shape recovery and earth observation. Particularly, registering satellite images is challenging and time-consuming due to limited resources and large image size. In such scenario, state-of-the-art image registration methods such as scale-invariant feature transform (SIFT) may not be suitable due to high processing time. In this paper, we propose an algorithm based on block processing via entropy to register satellite images. The performance of the proposed method is evaluated using different real images. The comparative analysis shows that it not only reduces the processing time but also enhances the accuracy. |
| Databáze: | OpenAIRE |
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