Text · dataset · 2025
Characterizing Variability and Multi-Resolution Predictions
Listed in NASA Data Portal
In previous papers, we introduced the idea of a Virtual Sensor, which is a mathematical model trained to learn the potentially nonlinear relationships between spectra for a given image scene for the purpose of predicting values of a subset of those spectra when only partial measurements have been taken.
Description
Such models can be created for a variety of disciplines including the Earth and Space Sciences as well as engineering domains.
These nonlinear relationships are induced by the physical characteristics of the image scene. In building a Virtual Sensor a key question that arises is that of characterizing the stability of the model as the underlying scene changes. For example, the spectral relationships could change for a given physical location, due to seasonal weather conditions.
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This paper, based on a talk given at the American Geophysical Union (2005), discusses the stability of predictions through time and also demonstrates the use of a Virtual Sensor in making multi-resolution predictions. In this scenario, a model is trained to learn the nonlinear relationships between spectra at a low resolution in order to predict the spectra at a high resolution.
Links
Get the data
- JPL2006.pdf c3.nasa.gov/dashlink/static/media/publication/JPL2006.pdf ↗
download · from data nasa gov
Where it is published
- NASA Data Portal dataset page data.nasa.gov/dataset/characterizing-variability-and-multi-resolution-predic… ↗
landing page · from data nasa gov
Catalogue records · 1
- CKAN API data.nasa.gov/api/3/action/package_show?id=7f4b8c29-4f60-427f-a923-123f5f68a… ↗
metadata API · from data nasa gov
Topics
- Inferred from text
- Computer vision and multimedia computation 73% · Image 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Data Portal | 7f4b8c29-4f60-427f-a923-123f5f68a5fa | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4603 | enrichment · data nasa gov | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[modality].local:modality:image | enrichment · data nasa gov | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| description | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /notes |
| license_text | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| publication_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| title | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /title |
| updated_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 |