Rational function model-based image matching for digital elevation models
| Autor: | Hong-Gyoo Sohn, Hoon Chang, Choung Hwan Park |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Matching (statistics)
Mean squared error Scale (ratio) business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Rational function Computer Science Applications Geography Line (geometry) Earth and Planetary Sciences (miscellaneous) Piecewise Computer vision Point (geometry) Artificial intelligence Computers in Earth Sciences business Digital elevation model Engineering (miscellaneous) Algorithm |
| Zdroj: | The Photogrammetric Record. 20:366-383 |
| ISSN: | 1477-9730 0031-868X |
| Popis: | This paper presents an image matching technique for IKONOS satellite imagery based on rational function models (RFMs). This algorithm adopts the object-space approach and reduces the search space to within the confined line-shaped area called the piecewise matching line (PML). Also, the detailed procedure of generating 3D surface information using the RFM coefficients (RFCs) is introduced to illustrate an end-user’s point of view. The final digital elevation model (DEM) generated using the proposed scheme shows a mean error of 2AE2 m and rmse of 3AE8 m compared with that from a 1:5000 scale digital map. |
| Databáze: | OpenAIRE |
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