Recent Applications of Perturbation Filters

  • Armando Marino
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

As explained in the abstract, the main goal of the thesis was the development of a new algebraic procedure for target detection, based on a novel perturbation filter. The earliest and most studied application was the single target detector (STD) largely described in the previous chapters. However, the algebraic operation underneath the STD is more general and powerful and can be adapted to different scenarios (as long as the entities under analysis lie within a Euclidean space).

Keywords

Target Detector Random Volume Coherency Matrix Partial Target Miss Detection Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The ALOS PALSAR data for the fire scar detection was provided courtesy of Dr. Hao Chen and Dr. David Goodenough, Canadian Forestry Service (CFS), Victoria, BC. The ALOS-PALSAR data for the Chinese test site was provided courtesy of the DRAGON 2 program. Finally we would like to acknowledge support from TerraSAR-X project number LAN0638 for provision of the dual polarised data used.

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Copyright information

© Springer-Verlag Berlin Heidelberg  2012

Authors and Affiliations

  • Armando Marino
    • 1
  1. 1.ETH ZurichInstitute of Environmental EngineeringZurichSwitzerland

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