Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection

  title={Multi-sensor and algorithm fusion with the Choquet integral: applications to landmine detection},
  author={Paul D. Gader and Andres Mendez-Vazquez and Kenneth Chamberlin and Jeremy Bolton and Alina Zare},
  journal={IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium},
  pages={1605-1608 vol.3}
We discuss the application of Choquet integrals to multi-algorithm and multi-sensor fusion in landmine detection. Choquet integrals are defined. Specific classes of measures, the full and Sugeno measures, are described. Full measures are optimized via quadratic programming. A steepest descent algorithm for optimizing Sugeno measures is derived by applying implicit differentiation. Multiple detection algorithms are applied to hyper-spectral and synthetic aperture radar imagery. In addition, a… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 12 extracted citations

Voting and Choquet Fusion - A System-of-Systems Error Resilient Comparison

AAAI Spring Symposium: Modeling Complex Adaptive Systems as if They Were Voting Processes • 2011
View 3 Excerpts
Highly Influenced

Description of the Choquet Integral for tactical knowledge representation

2010 13th International Conference on Information Fusion • 2010
View 2 Excerpts


Publications referenced by this paper.
Showing 1-6 of 6 references

, “ Neural versus Heuristic Development of Choquet Fuzzy Integral Fusion Algorithms for Land Mine Detection , ”

A. Koksal Hocaoglu Bruce N. Nelson, Sansanee Auephanwiriyakul, Mohamed A. Khabou
Neuro - fuzzy Pattern Recognition H .

Hocaoglu and Gader , “ Comments on Choquet Fuzzy Integral - Based Hierarchical Networks for Decision Analysis ”

William C Radzelovage, I. S. Reed Personal Communication X. Yu, A. D. Stocker
IEEE Transactions Fuzzy Systems

Similar Papers

Loading similar papers…