Context-Dependent multi-sensor fusion for landmine detection

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue 1, 2008, Pages 371-374

  Frigui, Hichem ^a   Zhang, Lijun ^a   Gader, Paul ^b  

^a University of Louisville   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Algorithm fusion; GPR; Multi sensor fusion; WEMI

Indexed keywords

BOMBS (ORDNANCE); CLUSTERING ALGORITHMS; ELECTROMAGNETIC INDUCTION; EXPLOSIVES; EXTRACTION; GEOLOGICAL SURVEYS; GEOLOGY; GEOPHYSICAL PROSPECTING; GROUND PENETRATING RADAR SYSTEMS; REMOTE SENSING; SPACE OPTICS;

AGGREGATION WEIGHTS; ALGORITHM FUSION; CLASSIFICATION METHODS; CONTEXT-DEPENDENT FUSIONS; GROUND PENETRATING RADAR (GPR); MULTI-SENSOR FUSION; RELATIVE PERFORMANCE; WEMI;

LANDMINE DETECTION;

EID: 66549086168     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4779005     Document Type: Conference Paper

References (6)

1. H. Frigui and P. D. Gader, "Detection and discrimination of land mines based on edge histogram descriptors and fuzzy k-nearest neighbors," in Proc. of the IEEE Int. Conference on Fuzzy Systems, 2006.
2. K. C. Ho, L. Carin, P. D. Gader, and J. N. Wilson, "On using the spectral features from ground penetrating radar for landmine-clutter discrimination," submitted to IEEE Trans. Geoscience and Remote Sensing.
3. J. T. Miller, T. H. Bell, J. Soukup, and D. Keiswetter, "Simple phenomenological models for wideband frequence-domain electromagnetic induction," IEEE Tran, on Geoscience and Remote Sensing, vol.39, no. 6, pp. 1294-1298, 2001.
4. H. Huang and I. J. Won, "Automated anomaly picking from broadband electromagnetic data in an unexploded ordance (uxo) survey," Geophysics, vol.68, no. 6, pp. 1870-1976, 2003.
5. H. Frigui, L. Zhang, and P. D. Gader, "Context-dependent fusion for landmine detection with ground-penetrating radar," in Proc. of the SPIE Conf. on Detection and Remediation Technologies for Mines and Minelike Targets XII, Apr. 2007.
6. A. Mendez-Vazquez, P. D. Gader, J. M. Keller, and K. Chamberlin, "Minimum classification error training for choquet integrals with applications to landmine detection," to appear on IEEE Tran, on Fuzzy Systems, 2007.