Cargando…
Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural Networks
High-resolution digital elevation models (DEMs) play a critical role in geospatial databases, which can be applied to many terrain-related studies such as facility siting, hydrological analysis, and urban design. However, due to the limitation of precision of equipment, there are big gaps to collect...
Autores principales: | Zhang, Yifan, Yu, Wenhao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839567/ https://www.ncbi.nlm.nih.gov/pubmed/35161491 http://dx.doi.org/10.3390/s22030745 |
Ejemplares similares
-
Sinogram Interpolation Inspired by Single-Image Super Resolution
por: Christiansen, Carolyn, et al.
Publicado: (2023) -
Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance
por: Choi, Jinsoo, et al.
Publicado: (2023) -
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
por: Du, Xiaofeng, et al.
Publicado: (2018) -
Super resolution DOA estimation based on deep neural network
por: Liu, Wanli
Publicado: (2020) -
Neural network interpolation of exchange-correlation functional
por: Ryabov, Alexander, et al.
Publicado: (2020)