DocumentCode :
3347910
Title :
Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model
Author :
Ratto, Christopher ; Torrione, Peter ; Morton, Kenneth ; Collins, Leslie
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4192
Lastpage :
4195
Abstract :
Context-dependent approaches to landmine detection have been developed in recent years to exploit the sensitivity of ground-penetrating radar (GPR) to changes in environmental conditions. Previous approaches to context-dependent fusion have only considered the special case of statistically independent observations. This work proposes the use of Hidden Markov Models, trained on the GPR background, for modeling the context of observation sequences. The performances of context-dependent fusion using two statistical context models were compared in an experiment with field data. One approach utilized a Hidden Markov Context Model (HMCM), and the other utilized a Gaussian mixture. Experimental results illustrated that the HMCM improved performance of context-dependent fusion. These results suggest that spatial dependencies are an important source of contextual information for landmine detection that warrants further investigation.
Keywords :
Gaussian processes; ground penetrating radar; hidden Markov models; landmine detection; GPR background; Gaussian mixture; context-dependent fusion; context-dependent landmine detection; environmental condition; ground-penetrating radar; hidden Markov context model; statistical context model; Context; Context modeling; Feature extraction; Ground penetrating radar; Hidden Markov models; Landmine detection; Training; Ground-penetrating radar; Hidden Markov Models; context-dependent; landmine detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652297
Filename :
5652297
Link To Document :
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