Peter Strobl
Biographic Data
| ID | 7248500 |
|---|---|
| NAME | Peter Strobl |
| GIVEN NAMES | Peter |
| FAMILY NAME | Strobl |
| SIGNATURE | STROBL P |
| AFFILIATIONS | European Commission Joint Research Centre / Ispra / Italy |
| ORCID | 0000-0003-2733-1822 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-Pixel Accuracy
In recent decades, an important number of regional and global digital elevation models (DEMs) have been released publicly. As a consequence, researchers need to choose between several of these models to perform their studies and to use these DEMs as third-party data to compute derived products (e.g., for orthorectification). However, the comparison of DEMs is not trivial. For most quantitative comparisons, DEMs need to be expressed in the same co…
Datacubes
Datacubes are increasingly being implemented to manage big data workflows efficiently, particularly those for processing geospatial data. However, there is confusion in both the definition of the term “datacube” and the choices for how it is implemented. This and the conventional approach to managing spatial data (i.e., in map-projected data sets) have led to a restricted set of datacube implementations that are each tightly coupled to the spatia…
No prominent works on this page.
Datacubes
Datacubes are increasingly being implemented to manage big data workflows efficiently, particularly those for processing geospatial data. However, there is confusion in both the definition of the term “datacube” and the choices for how it is implemented. This and the conventional approach to managing spatial data (i.e., in map-projected data sets) have led to a restricted set of datacube implementations that are each tightly coupled to the spatia…
Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-Pixel Accuracy
In recent decades, an important number of regional and global digital elevation models (DEMs) have been released publicly. As a consequence, researchers need to choose between several of these models to perform their studies and to use these DEMs as third-party data to compute derived products (e.g., for orthorectification). However, the comparison of DEMs is not trivial. For most quantitative comparisons, DEMs need to be expressed in the same co…
Artificial Intelligence (2 works) · Computer Science (2 works) · Remote sensing (2 works) · Bicubic interpolation (1 work) · Big data (1 work) · Bilinear interpolation (1 work) · Cartography (1 work) · Computer vision (1 work) · Data cube (1 work) · Data Management and Algorithms (1 work)