Eysteinn Már Sigurðsson

Research Topic: Parallel algorithms for High Performance Computing (HPC). Analysis and detection of vascular features in medical images. Classification and analysis of multispectral satellite images.

HPC project: High Performance Computing of hyperspectral remote sensing images. GPU implementation of unmixing algorithms.

Keywords: Remote Sensing, Image Processing, Unmixing, Hyperspectral/multispectral remote sensing images, High Performance Computing, Medical images.

Data sets: Rapideye (multispectral), SPOT5 (multispectral), AVIRIS (hyperspectral), Drive (medical images)

Software:

  • C, C++, OpenCL
  • MATLAB
  • IDL/ENVI
  • Lua