Possibilistic multi-sensor fusion for humanitarian demining

Nada Milisavljević, Isabelle Bloch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a method for combining humanitarian mine detection sensors based on possibility theory. Firstly, different features are extracted from the sensor data. Possibility distributions are then derived from the features based on prior information. After that, the combination of possibility degrees is performed in two steps, on separate sensor level and between the sensors. Combination operators are chosen to account for the different characteristics of the sensors. The final decision is obtained by thresholding the fusion result. Promising results have been obtained on a set of real mines and non-dangerous objects. In particular a 100% mine recognition rate was achieved, with a limited number of false alarms.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages14-17
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: 23 Jun 200728 Jun 2007

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Country/TerritorySpain
CityBarcelona
Period23/06/0728/06/07

Keywords

  • Humanitarian mine detection
  • Information modeling
  • Possibilistic fusion

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