FPGA-Based Hyperspectral Data Compression Using Spectral Unmixing and the Pixel Purity Index Algorithm

  • David Valencia
  • Antonio Plaza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991)


Hyperspectral data compression is expected to play a crucial role in remote sensing applications. Most available approaches have largely overlooked the impact of mixed pixels and subpixel targets, which can be accurately modeled and uncovered by resorting to the wealth of spectral information provided by hyperspectral image data. In this paper, we develop an FPGA-based data compression technique based on the concept of spectral unmixing. It has been implemented on a Xilinx Virtex-II FPGA formed by several millions of gates, and with high computational power and compact size, which make this reconfigurable device very appealing for onboard, real-time data processing.


Hyperspectral Image FPGA Implementation Mixed Pixel Pixel Purity Index Pixel Vector 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David Valencia
    • 1
  • Antonio Plaza
    • 1
  1. 1.Department of Computer ScienceUniversity of ExtremaduraCaceresSpain

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