An accurate registration method for remote sensing images based on control network
| Autor: | Wen Gongjian, Xiang Shengwen, Gao Feng |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Image fusion
Computer science business.industry Template matching Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration Kanade–Lucas–Tomasi feature tracker Pattern recognition Image processing Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Remote sensing Feature detection (computer vision) |
| Zdroj: | ChinaSIP |
| Popis: | Image registration is one of the critical techniques in remote sensing image processing. High resolution satellite images are generally obtained at widely spaced intervals. Typically feature-based registration algorithms may be not proper for those images because of its heavy computation in feature extraction and feature matching process. Additionally, it is unnecessary to use the numerous feature points when calculating image transformation model. In this paper, a registration method based on control points is proposed, which has an excellent performance in large size remote sensing images and the matching process works very fast with the use of a control network. Massive experiments show that the algorithm is effective and efficient and has a strong adaptation to translation, rotation and scale change between images. |
| Databáze: | OpenAIRE |
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