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| Type: | Resource | |
| Storage: | The size of this resource is 343.1 KB | |
| Created: | Mar 30, 2026 at 5 p.m. (UTC) | |
| Last updated: | Mar 30, 2026 at 6:05 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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Abstract
Validation evidence for the GRIME AI feature extraction module. Synthetic test images with known analytical properties are processed through GRIME AI and results are compared against expected values. Includes analytical validation of intensity, Shannon entropy, GCC, and ExG metrics using pure-color images, and directional validation of GLCM, Gabor, LBP, and Fourier descriptors using synthetic image pairs. Contains the validation script, formal test plan, synthetic test images, and CSV results from a validation run conducted on 2026-03-27.
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| License | Apache License 2.0 |
Related Resources
| This resource is described by | GRIME AI source code. Available at: https://github.com/JohnStranzl/GRIME-AI |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. National Science Foundation | Innovative Resources: Cyberinfrastructure and community to leverage ground-based imagery in ecohydrological studies | 2411065 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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