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.
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Bryan Matthews",
"@type": "vcard:Contact",
"hasEmail": "mailto:bryan.l.matthews@nasa.gov"
}
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Srivastava_-_AIAA_Paper_1995.pdf",
"format": "PDF",
"mediaType": "application/pdf",
"description": "Srivastava_-_AIAA_Paper_1995.pdf",
"downloadURL": "https://c3.nasa.gov/dashlink/static/media/algorithm/Srivastava_-_AIAA_Paper_1995.pdf"
}
]
|
| identifier | DASHLINK_114 |
| issued | 2010-09-10 |
| keyword |
[
"ames",
"dashlink",
"nasa"
]
|
| landingPage | https://c3.nasa.gov/dashlink/resources/114/ |
| modified | 2025-03-31 |
| programCode |
[
"026:029"
]
|
| publisher |
{
"name": "Dashlink",
"@type": "org:Organization"
}
|
| title | Spectral Decomposition Algorithm (SDA) |
