nasarestricted
Spectral Decomposition Algorithm (SDA)
Spectral Decomposition Algorithm (SDA) is an unsupervised feature extraction technique similar to PCA that was developed to better distinguish spectral features in the space shuttle main engine's optical plume. See paper below: Code is not open sourced and therefore it is not available. See paper for sample pseudo code.
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 4
- Reuse readiness
- 8
- Engagement
- 0