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FPGA-based architecture for hyperspectral Compressive Sensing

Nascimento, J. ; Vestias, MV

FPGA-based architecture for hyperspectral Compressive Sensing, Proc Conference on Telecommunications - ConfTele, Leiria, Portugal, Vol. , pp. - , February, 2021.

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Abstract
Advances in hyperspectral sensors have increased the resolution of the acquired images. This capability brings a huge amount of data to be stored and transmitted. Compressive sensing is a technique that acquires directly the compressed signal instead of acquiring the full dataset. Thus, reducing the
amount of data to be processed.
This paper presents a hardware/software implementation in a system-on-chip (SoC) field-programmable gate array (FPGA) for hyperspectral data compressive sensing. The experiments conducted measure the performance of the system in terms of the area, power consumption, and processing time. This architecture
runs the compressive sensing algorithm with a unitary compression rate over an airborne visible/infrared imaging spectrometer sensor image with 512 lines, 614 samples, and 224 bands in 0.35 s, being at same time very efficient in terms of energy consumption.