We present the system integration and validation tests of a compressive Multi-Mission Electro-Optical Sensor (MMEOS). With the unique algorithm implementation, the sensor exhibits exceptional agility enabling both multispectral (MS) sensing for wide area situational awareness and hyperspectral (HS) sensing for target recognition and identification. The sensor enables seamless mission changes on-the-fly via only software configuration of the operational parameters such as spatial, spectral and temporal resolutions based on mission requirements.


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    Title :

    Developing, integrating and validating a compressive hyperspectral video imager


    Contributors:
    Zhou, Juefei (author) / Yang, Yi (author) / Li, Le (author) / Agarwal, Sanjeev (author) / Nguyen, Son (author) / Giljum, Anthony (author) / Kelly, Kevin F. (author)

    Conference:

    Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX ; 2020 ; Online Only,California,United States


    Published in:

    Proc. SPIE ; 11423


    Publication date :

    2020-05-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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