Daniel Reichman
Orcid: 0000-0002-9845-6852Affiliations:
- Duke University, Electrical Engineering Department, Durham, NC, USA (PhD 2017)
According to our database1,
Daniel Reichman
authored at least 7 papers
between 2016 and 2019.
Collaborative distances:
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Bibliography
2019
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2019
2018
On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection.
IEEE Trans. Geosci. Remote. Sens., 2018
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar.
CoRR, 2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps.
CoRR, 2018
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016