Automated Organization ProfileEarth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba City, Ibaraki, 305-8505 Japan
Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba City, Ibaraki, 305-8505 Japan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This set contains the original Excel spreadsheets of the diagrams and statistics described in the article "Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-pixel Accuracy: Application to Digital Elevation Models" (preprint available at https://www.preprints.org/manuscript/202402.0987/v1).Two types of files can be found, with the following prefixes:disparity_analysis_errors - These files feature the error matrices and surfaces resulting from the validation study described in section 3 of the article. Four files can be found with this prefix, each one corresponding to a different study area (Italy, Cyprus, Croatia, France). Each sheet of these files correspond to a specific bicubic parameter, for which the value b is recalled by the sheet name and the 3D surface title.disparity_analysis_statistics - This file summarizes the most important results of the article. In appearing order, one can find the results of the Best BiCubic (BBC) study (section 4), the relation between Best BiCubic and roughness (section 5) and the influence of the correlation window size on the accuracy of the displacement retrieval (discussions section) in this file.
Authors
- Riazanoff, Serge ;
- Corseaux, Axel ;
- Albinet, Clément ;
- Strobl, Peter A. ;
- López-Vázquez, Carlos ;
- Guth, Peter L. ;
- Tadono, Takeo
This set contains the original Excel spreadsheets of the diagrams and statistics described in the article "Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-pixel Accuracy: Application to Digital Elevation Models" (preprint available at https://www.preprints.org/manuscript/202402.0987/v1).Two types of files can be found, with the following prefixes:disparity_analysis_errors - These files feature the error matrices and surfaces resulting from the validation study described in section 3 of the article. Four files can be found with this prefix, each one corresponding to a different study area (Italy, Cyprus, Croatia, France). Each sheet of these files correspond to a specific bicubic parameter, for which the value b is recalled by the sheet name and the 3D surface title.disparity_analysis_statistics - This file summarizes the most important results of the article. In appearing order, one can find the results of the Best BiCubic (BBC) study (section 4), the relation between Best BiCubic and roughness (section 5) and the influence of the correlation window size on the accuracy of the displacement retrieval (discussions section) in this file.
Authors
- Riazanoff, Serge ;
- Corseaux, Axel ;
- Albinet, Clément ;
- Strobl, Peter A. ;
- López-Vázquez, Carlos ;
- Guth, Peter L. ;
- Tadono, Takeo