Spaceflight and planetary exploration place severe constraints on the available bandwidth for downlinking large hyperspectral images. In addition, communications with spacecraft often occur intermittently, so mission-relevant hyperspectral data must wait for analysis on the ground before it can inform spacecraft activity planning. Onboard endmember detection can help alleviate these problems. It enables novelty detection and target identification for scheduling follow-up activities such as additional observation by narrow field of view instruments. Additionally, endmember analysis can facilitate data summary for downlink. This work describes a planned experiment of selective downlink by the EO-1 autonomous spacecraft. Here an efficient superpixel endmember detection algorithm keeps to the limited computational constraints of the flight processor. Tests suggest the procedure could enable significant improvements in downlink efficiency.


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    Titel :

    Efficient Spectral Endmember Detection Onboard the EO-1 Spacecraft


    Beteiligte:
    Bornstein, Ben (Autor:in) / Thompson, David R. (Autor:in) / Tran, Daniel (Autor:in) / Bue, Brian (Autor:in) / Chien, Steve (Autor:in) / Castano, Rebecca (Autor:in)

    Kongress:

    IEEE 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing ; 2011 ; Lisbon, Portugal


    Erscheinungsdatum :

    2011-06-06


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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