Developing a model to increase quality of DEM

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2013

Author

Paşaoğulları, Onur

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Low resolution (LR) Grid Digital Elevation Models (DEMs) are the inputs of multi frame super resolution (MFSR) algorithm to obtain high resolution (HR) grid DEM. In digital image MFSR, non-redundant information carrying LR image pairs are a necessity. By using the analogy between digital image and grid DEMs, it is proven that, although the LR grid DEMs have a single source, they carry non-redundant information and they can be inputs of MFSR. Quality of grid DEM can be increased by using MFSR techniques. The level of spatial enhancement is directly related to the amount of non-redundant information that the LR grid DEM pairs carry. It is seen that super resolution techniques have potential to increase the accuracy of grid DEMs from a limited sampling.

Subject Keywords

Digital elevation models., Spatial data infrastructures., Geospatial data., Digital elevation models.

URI

http://etd.lib.metu.edu.tr/upload/12615756/index.pdf
https://hdl.handle.net/11511/22562

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

O. Paşaoğulları, “Developing a model to increase quality of DEM,” Ph.D. - Doctoral Program, Middle East Technical University, 2013.