| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 178.25 KB | Adobe PDF |
Advisor(s)
Abstract(s)
This paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral datasets. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems.
Description
Keywords
Field programmable gate arrays Hyperspectral imaging Image processing System-on-chip
Citation
NASCIMENTO, José; [et al] - FPGA-based architecture for hyperspectral unmixing. IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. 2015. ISBN 978-1-4799-7929-5. Pp. 1761-1764
Publisher
IEEE-Institute Electrical Electronics Engineers INC