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5 May 2017 Real-time hyperspectral image processing for UAV applications, using HySpex Mjolnir-1024
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The HySpex Mjolnir-1024 hyperspectral camera provides a unique combination of small form factor and low mass combined with high performance and scientific grade data quality. The camera has spatial resolution of 1024 pixels, spectral resolution of 200 bands within 400 nm to 1000 nm wavelength range and F1.8 optics that ensures high light throughput. Rugged design with good thermal and mechanical stability makes Mjolnir-1024 an excellent option for a wide range of scientific applications for airborne UAV operations and field applications. The optical architecture is based on the high-end ODIN-1024 system and features a total FOV of 20 degrees with approximately 0.1 pixel residual keystone effect and even smaller residual smile effect after resampling. With a total mass of less than 4 kg including hyperspectral camera, data acquisition unit, IMU and GPS, the system is suitable for even relatively small UAVs. The system is generic and can be deployed on a wide range of UAVs with various downlink capabilities. The ground station software enables full control of the sensor settings and has the capability to show in real time the location of the UAV, plot the flight path of the UAV and display a georeferenced waterfall preview image in order to give instant feedback on spatial coverage. The system can be triggered automatically by the UAV’s flight management system, but can also be controlled manually. Mjolnir-1024 housing contains both the camera hardware and a high performance onboard computer. The computer enables advanced processing capabilities such as real-time georeferencing based on the data streams from the camera and INS. The system is also capable of performing real-time image analysis such as anomaly detection, NDVI and SAM. The data products can be overlaid on top of various background maps and images in real time. The real-time processing results can also be downlinked and displayed directly on the monitor of the ground station.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pesal Koirala, Trond Løke, Ivar Baarstad, Andrei Fridman, and Julio Hernandez "Real-time hyperspectral image processing for UAV applications, using HySpex Mjolnir-1024", Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019807 (5 May 2017);

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