New technologies for improving spatial resolution of satellite images
| Autor: | Yifeng Li, G.A. Lampropoulos, Shen-En Qian |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Image fusion
Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Reconstruction algorithm Sensor fusion Adaptive filter Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Image resolution Image restoration Sub-pixel resolution |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2002.1027171 |
| Popis: | In this paper, the results of different image fusion schemes for pixel level fusion and image super-resolution reconstruction algorithm are presented. A new method that performs enhancements in the spatial resolution is employed. It has the following unique features: (a) higher ability of improving image spatial resolution (b) increased reduction of pixel uncertainties due to calibration errors through a new adaptive filtering technique, and (c) improved reduction of the blurring through a new blur estimation and super-resolution restoration that employs cross-validation for regularization. Tradeoff studies with other state of the art spatial resolution enhancement algorithms are presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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