Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification
| Autor: | Ola Friman, Thomas Olsvik Opsahl, Per-Erik Forssén, Ingebjørg Kåsen, Erik Ringaby, Trym Vegard Haavardsholm |
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| Rok vydání: | 2014 |
| Předmět: |
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Signalbehandling Image processing rectification Electrical Engineering Electronic Engineering Information Engineering Data visualization Teknik och teknologier Computer vision Image rectification Spatial dependence Elektroteknik och elektronik scattered data ComputingMethodologies_COMPUTERGRAPHICS Signal processing business.industry anisotropic Computer Graphics and Computer-Aided Design interpolation Visualization hyperspectral pushbroom Signal Processing Metric (mathematics) Engineering and Technology Artificial intelligence business Software Interpolation |
| Zdroj: | IEEE Transactions on Image Processing. 23:2302-2314 |
| ISSN: | 1941-0042 1057-7149 |
| DOI: | 10.1109/tip.2014.2316377 |
| Popis: | This article deals with fast and accurate visualization of pushbroom image data from airborne and spaceborne platforms. A pushbroom sensor acquires images in a line-scanning fashion, and this results in scattered input data that needs to be resampled onto a uniform grid for geometrically correct visualization. To this end, we model the anisotropic spatial dependence structure caused by the acquisition process. Several methods for scattered data interpolation are then adapted to handle the induced anisotropic metric and compared for the pushbroom image rectification problem. A trick that exploits the semi-ordered line structure of pushbroom data to improve the computational complexity several orders of magnitude is also presented. |
| Databáze: | OpenAIRE |
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