Popis

The volume of data that NASA collects has grown dramatically as new missions come on line with hundreds of terabytes of data of all types. Often, this involves semi-autonomous exploration to collect a representative set of different scenes and objects so that research scientists and mission controllers can decide what regions are of particular interest and should be explored further. The lack of bandwidth to transmit all this data back from deep space has prompted the need to determine what data is relevant, important, and interesting enough to be sent back immediately. A common understanding among potential consumers (including the general public) of what signifies as an image or sensor reading of value is needed. To make these decisions quickly, the data needs to be presented intuitively using a common semantic vocabulary that describes interesting or anomalous features or events (e.g., composition of a certain mineral above some threshold, visual evidence of terrain features created by moving water, or a volcanic eruption in real-time during an orbital pass) so that opportunities for further inspection and analysis are not lost to long transmission times. We propose a framework for onboard intelligent data understanding algorithms to mitigate this opportunity risk and improve collection efficiency and effectiveness by summarizing the data and enabling the download of a subset containing the most valuable portions called Discovery of Interesting Patterns and Semantic Analysis in Remote Space (DIPSARS). DIPSARS is a framework for semantically characterizing, detecting, and fusing interesting and anomalous 1D sensor measurements and 2D imagery onboard remote spacecraft and planetary rovers to conserve transmission bandwidth. We do this by summarizing data events so that mission controllers and research scientists can analyze representative feature data and provide instructive feedback to seize emergent opportunities for data collection.

Obecné informace

• Dokumentace

  http://catalog.data.gov/dataset/dipsars-discovery-of-interesting-patterns-and-semantic-analysis-in-remote-space-project Do you think this data is incorrect? Let us know

• Poskytovatel

  National Aeronautics and Space Administration Do you think this data is incorrect? Let us know

Právní informace

• Právní prohlášení

  http://catalog.data.gov/dataset/dipsars-discovery-of-interesting-patterns-and-semantic-analysis-in-remote-space-project Do you think this data is incorrect? Let us know

• Under which licence can people outside the US reuse this data?

  Creative Commons CCZero Do you think this data is incorrect? Let us know

• Obsah chráněný autorským právem

  yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know

• Licence obsahu

  Creative Commons CCZero Do you think this data is incorrect? Let us know

• Strojově čitelná data právního prohlášení

  licence k datům Do you think this data is incorrect? Let us know

• Ochrana soukromí

  nehraje roli, data se netýkají fyzických osob Do you think this data is incorrect? Let us know

Praktické informace

• Relevantní datové katalogy

  http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know

• Zastarávání

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Technické informace

• URL datové sady

  http://techport.nasa.gov/xml-api/16157 Do you think this data is incorrect? Let us know

• Strojová čitelnost

  strojově čitelné Do you think this data is incorrect? Let us know

• Formát dat

  standardizovaný, otevřený Do you think this data is incorrect? Let us know

Sociální informace

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  popis Do you think this data is incorrect? Let us know

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  URL dokumentace Do you think this data is incorrect? Let us know

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  poskytovatel Do you think this data is incorrect? Let us know

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  klíčová slova Do you think this data is incorrect? Let us know

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  distribuce Do you think this data is incorrect? Let us know

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  datum vydání Do you think this data is incorrect? Let us know

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  datum poslední změny Do you think this data is incorrect? Let us know

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• Strojově čitelná metadata k distribucím

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• Kontakty

  http://catalog.data.gov/dataset/dipsars-discovery-of-interesting-patterns-and-semantic-analysis-in-remote-space-project Do you think this data is incorrect? Let us know

• Zpětná vazba k publikovaným datovým sadám

  http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/dipsars-discovery-of-interesting-patterns-and-semantic-analysis-in-remote-space-project Do you think this data is incorrect? Let us know