Trevor M. Bajkowski

According to our database, Trevor M. Bajkowski authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DNN Object Detection in High-Resolution Multispectral Satellite Imagery with Varied Bit-Depth and Spectral Bands.

Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott

Proceedings of the IGARSS 2024, 2024

2023

Detection of Camouflage-Covered Military Objects Using High-Resolution Multi-Spectral Satellite Imagery.

Alan B. Cannaday, Curt H. Davis, Trevor M. Bajkowski

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering.

Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, Pallavi Gupta, James M. Keller, Marjorie Skubic, Grant J. Scott

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features.

J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022

Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks.

Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network.

J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping.

Keli Cheng, Trevor M. Bajkowski, Grant J. Scott

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery.

Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery.

Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features.

Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors.

Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020