フォロー
Joseph A. Camilo
Joseph A. Camilo
確認したメール アドレス: duke.edu
タイトル
引用先
引用先
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery
J Camilo, R Wang, LM Collins, K Bradbury, JM Malof
arXiv preprint arXiv:1801.04018, 2018
522018
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection
R Wang, J Camilo, LM Collins, K Bradbury, JM Malof
2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2017
302017
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar
JA Camilo, LM Collins, JM Malof
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 547-558, 2017
202017
Clutter and target discrimination in forward-looking ground penetrating radar using sparse structured basis pursuits
JA Camilo, JM Malof, PA Torrione, LM Collins, KD Morton Jr
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX …, 2015
112015
A feature learning approach for classifying buried threats in forward looking ground penetrating radar data
JA Camilo, JM Malof, LM Collins
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI …, 2016
62016
Three-dimensional features, based on beamforming at multiple depths, improves landmine detection with a forward-looking ground-penetrating radar
JA Camilo, LM Collins, JM Malof
2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR …, 2017
22017
An improved frequency domain feature with partial least-squares dimensionality reduction for classifying buried threats in forward-looking ground-penetrating radar data
JA Camilo, M Crosskey, K Morton Jr, LM Collins, JM Malof
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII …, 2017
12017
Statistical Modeling to Improve Buried Target Detection with a Forward-Looking Ground-Penetrating Radar
JA Camilo
Duke University, 2017
2017
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