Vegetation mapping for landmine detection using long-wave hyperspectral imagery A Zare, J Bolton, P Gader, M Schatten IEEE Transactions on Geoscience and Remote Sensing 46 (1), 172-178, 2007 | 69 | 2007 |
Multiple-instance hidden markov models with applications to landmine detection SE Yuksel, J Bolton, P Gader IEEE Transactions on Geoscience and Remote Sensing 53 (12), 6766-6775, 2015 | 42 | 2015 |
Random set framework for multiple instance learning J Bolton, P Gader, H Frigui, P Torrione Information Sciences 181 (11), 2061-2070, 2011 | 39 | 2011 |
Application of multiple-instance learning for hyperspectral image analysis J Bolton, P Gader IEEE Geoscience and Remote Sensing Letters 8 (5), 889-893, 2011 | 33 | 2011 |
Random set framework for context-based classification with hyperspectral imagery J Bolton, P Gader IEEE Transactions on Geoscience and Remote Sensing 47 (11), 3810-3821, 2009 | 26 | 2009 |
Landmine detection with multiple instance hidden Markov models SE Yuksel, J Bolton, PD Gader 2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012 | 23 | 2012 |
Foreword to the special issue on hyperspectral image and signal processing A Zare, J Bolton, J Chanussot, P Gader IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 22 | 2014 |
Multi-sensor and algorithm fusion with the Choquet integral: Applications to landmine detection P Gader, A Mendez-Vasquez, K Chamberlin, J Bolton, A Zare IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium …, 2004 | 20 | 2004 |
A new learning method for continuous hidden Markov models for subsurface landmine detection in ground penetrating radar X Zhang, J Bolton, P Gader IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 18 | 2014 |
Sub-pixel target spectra estimation and detection using functions of multiple instances A Zare, P Gader, J Bolton, S Yuksel, T Dubroca, R Close, R Hummel 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2011 | 16 | 2011 |
Comparison of algorithms for finding the air-ground interface in ground penetrating radar signals J Wood, J Bolton, G Casella, L Collins, P Gader, T Glenn, J Ho, W Lee, ... Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI …, 2011 | 13 | 2011 |
Multiple instance learning for hidden Markov models: application to landmine detection J Bolton, SE Yuksel, P Gader Detection and Sensing of Mines, Explosive Objects, and Obscured Targets …, 2013 | 10 | 2013 |
Multiple instance learning for hyperspectral image analysis J Bolton, P Gader 2010 IEEE International Geoscience and Remote Sensing Symposium, 4232-4235, 2010 | 9 | 2010 |
Embedding the multiple instance problem: applications to landmine detection with ground penetrating radar J Bolton, P Gader, H Frigui Detection and Sensing of Mines, Explosive Objects, and Obscured Targets …, 2013 | 8 | 2013 |
Cross entropy optimization of the random set framework for multiple instance learning J Bolton, P Gader 2010 20th International Conference on Pattern Recognition, 3907-3910, 2010 | 8 | 2010 |
Context-dependent fusion for mine detection using airborne hyperspectral imagery L Zhang, H Frigui, P Gader, J Bolton 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009 | 6 | 2009 |
Application of context-based classifier to hyperspectral imagery for mine detection J Bolton, P Gader Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII …, 2008 | 6 | 2008 |
Application of random set-based clustering to landmine detection with hyperspectral imagery J Bolton, P Gader 2007 IEEE International Geoscience and Remote Sensing Symposium, 2022-2025, 2007 | 6 | 2007 |
Extracting edge histogram detector features from ground penetrating radar data without ground alignment J Wood, J Wilson, J Bolton Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII …, 2012 | 3 | 2012 |
Random set model for context-based classification J Bolton, P Gader 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008 | 3 | 2008 |