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A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications
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DEM datasets tend to exhibit elevation values influenced by vegetation height and coverage, compromising the accuracy of models in representing terrain elevation.
“DEM datasets tend to exhibit elevation values influenced by vegetation height and coverage, compromising the accuracy of models in representing terrain elevation.”
From ANADEM: A Digital Terrain Model for South America (2024) · cites this paper as [8]
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Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · Systematic Reviews · doi:10.1186/s13643-021-01626-4 · Cited by 13,874
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
Elad, M., & Aharon, M. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.881969 · Cited by 5,321 · cited 1×
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Metadata
- Authors
- Okolie, C. J., & Smit, J. L.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 188
- Pages
- 1-29
- ISSN
- 0924-2716
- Cited by
- 139
- References
- 3
- Language
- en
- Licence
- Funders
- University of Cape Town
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