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    • Spectral Decomposition Algorithm (SDA)

    Metadata Updated: April 10, 2025

    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

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date April 10, 2025
    Data Update Frequency irregular

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date April 10, 2025
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_114
    Data First Published 2010-09-10
    Data Last Modified 2025-03-31
    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
    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 0c9c0dac-02e5-43c7-96e2-bd518bfb61a9
    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 67d576f77347572c302e8406769b7ae72e43ec1d4233cc746b622d34c92b6ab2
    Source Schema Version 1.1

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