Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system

An airborne demonstrator for real-time hyperspectral target detection has been developed at FFI. The real-time image processing is challenging, not only due to the computational complexity of the algorithms, but also due to the sustained high data rate. A software framework has been designed in C++...

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Bibliographic Details
Main Authors: Haavardsholm, T V, Arisholm, G, Kavara, A, Skauli, T
Format: Conference Proceeding
Language:English
Subjects:
Cameras
GPU
Hyperspectral
Hyperspectral imaging
Mixture models
Object detection
Pipelines
Pixel
Real time systems
Real-time
Target detection
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Summary:An airborne demonstrator for real-time hyperspectral target detection has been developed at FFI. The real-time image processing is challenging, not only due to the computational complexity of the algorithms, but also due to the sustained high data rate. A software framework has been designed in C++ to handle large data flows in a nonlinear pipeline architecture. The cross-platform framework enables full exploitation of multicore processors and graphics processing units (GPU), and even distribution among multiple computers. Object oriented design enables flexible reconfiguration of the pipeline. Tests demonstrate sustained real-time performance of complex anomaly detection processing.
ISSN:2158-6268
2158-6276
DOI:10.1109/WHISPERS.2010.5594940