Spectral Decomposition Algorithm (SDA)

Metadata Updated: May 30, 2023

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Srivastava_-_AIAA_Paper_1995.pdfPDF
Srivastava_-_AIAA_Paper_1995.pdf

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Dates

Metadata Created Date	November 12, 2020
Metadata Updated Date	May 30, 2023
Data Update Frequency	irregular

Metadata Source

Data.json Data.json Metadata
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Harvested from NASA Data.json

Additional Metadata

Resource Type	Dataset
Metadata Created Date	November 12, 2020
Metadata Updated Date	May 30, 2023
Publisher	Dashlink
Maintainer	Bryan Matthews
Identifier	DASHLINK_114
Data First Published	2010-09-10
Data Last Modified	2020-01-29
Public Access Level	public
Data Update Frequency	irregular
Bureau Code	026:00
Metadata Context	https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID	https://data.nasa.gov/data.json
Schema Version	https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby	https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id	7802fb94-306e-4cb2-913e-76e150d8ebac
Harvest Source Id	58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title	NASA Data.json
Homepage URL	https://c3.nasa.gov/dashlink/resources/114/
Program Code	026:029
Source Datajson Identifier	True
Source Hash	f2e00544525373e1da93c15cebf5bf78d6559a95
Source Schema Version	1.1

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