Developing, integrating and validating a compressive hyperspectral video imager

Juefei (Jeff) Zhou; Yi Yang; Le Li; Sanjeev Agarwal; Son Nguyen; Anthony Giljum; Kevin F. Kelly

doi:10.1117/12.2560282

21 May 2020 Developing, integrating and validating a compressive hyperspectral video imager

Juefei (Jeff) Zhou, Yi Yang, Le Li, Sanjeev Agarwal, Son Nguyen, Anthony Giljum, Kevin F. Kelly

Proceedings Volume 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX; 114230V (2020) https://doi.org/10.1117/12.2560282
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

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.

Conference Presentation

Citation Download Citation

Juefei (Jeff) Zhou, Yi Yang, Le Li, Sanjeev Agarwal, Son Nguyen, Anthony Giljum, and Kevin F. Kelly "Developing, integrating and validating a compressive hyperspectral video imager", Proc. SPIE 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 114230V (21 May 2020); https://doi.org/10.1117/12.2560282

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