DocumentCode :
3457720
Title :
HyperCube the intelligent hyperspectral imager
Author :
Esposito, Marco ; Marchi, Alessandro Zuccaro
Author_Institution :
Cosine Meas. Syst., Leiden, Netherlands
fYear :
2015
fDate :
4-5 June 2015
Firstpage :
547
Lastpage :
550
Abstract :
Hyperube is the first ever miniaturized hyperspectral imager with its own brain. The instrument is being developed by a European industrial consortium under ESA GSTP contract. The onboard data handling system is made for realtime data processing, enabling Level-2 generation onboard and therefore drastically reducing the amount of data to be downloaded and processed. It is designed to be operated upon nano- (such as CubeSats) or micro-satellites, or also on board larger platforms. The instrument will have unprecedented low mass and low power consumption. This hyperspectral imager will achieve a performance level high enough to reliably accomplish the tasks of early warnings via change detection monitoring, providing situational awareness to the end user The target platform of the current study is a 3U CubeSat, where 1U is dedicated to the HyperCube accommodation. The possibility of fitting within the cubic centimeter order of magnitude is provided by the state-of-art and extremely lightweighted reflective optics and telescope design operating in the VNIR range, made possible thanks to new technologies and materials, such as single point diamond turning and RSA aluminum. The signal-to-noise ratio, the spectral resolution, the ground sampling distance and the spectral bandwidth are sufficient for early warning of many natural events, e.g. flooding, forest fires, landslides, stress on vegetation. Furthermore, any other variation of the soil spectral signature, as for example illegal dumps, can also be detected. If used onboard larger satellites, the very wide swath, the L2 realtime data processing and the minimal impact at system level make the HyperCube attractive as an ancillary instrument providing real time phenomena information either to the larger primary payload or to a ground control room. This enables smart operational planning for large payloads.
Keywords :
geophysical image processing; geophysical techniques; hyperspectral imaging; image resolution; remote sensing; CubeSats; ESA GSTP contract; European industrial consortium; HyperCube accommodation; L2 realtime data processing; RSA aluminum; VNIR range; ancillary instrument; change detection monitoring; early warnings; flooding; forest fires; ground control room; ground sampling distance; intelligent hyperspectral imager; landslides; level-2 generation; microsatellites; natural events; onboard data handling system; operational payload planning; power consumption; primary payload; real time phenomena information; realtime data processing; signal-to-noise ratio; situational awareness; soil spectral signature; spectral bandwidth; spectral resolution; stress analysis; vegetation; Hypercubes; Hyperspectral imaging; Mirrors; Optical diffraction; Optical filters; Telescopes; cubesat; early warning; hyperspectral; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Metrology for Aerospace (MetroAeroSpace), 2015 IEEE
Conference_Location :
Benevento
Type :
conf
DOI :
10.1109/MetroAeroSpace.2015.7180716
Filename :
7180716
Link To Document :
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