Amanda Ziemann

According to our database, Amanda Ziemann authored at least 21 papers between 2010 and 2023.

Collaborative distances:

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

2023

Hyperspectral Target Identification Using Physics-Guided Neural Networks with Explainability and Feature Attribution.

Natalie Klein, Adra Carr, Zigfried Hampel-Arias, Allison Zastrow, Amanda Ziemann, Eric Flynn

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

2021

Bayesian Detection of Solid Subpixel Targets.

James Theiler, Stefania Matteoli, Amanda Ziemann

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

2020

Editorial for Special Issue "Remote Sensing for Target Object Detection and Identification".

Gemine Vivone, Paolo Addesso, Amanda Ziemann

Remote. Sens., 2020

Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets.

Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux

CoRR, 2020

Exploring feature augmentation as a method for improving panchromatic remote sensing change detection.

Amanda Ziemann, Travis Pitts

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery.

Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict.

Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, Amanda Ziemann, James Theiler

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Identifying forest thinning using anomalous change detection on synthetic aperture radar data.

Elena C. Reinisch, James Theiler, Amanda Ziemann

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery.

Sydney DeMets, Amanda Ziemann, Carrie Manore, Curtis Russell

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Temporal Anomaly Detection in Multispectral Imagery.

Amanda Ziemann, Hope Simonoko, Eric Flynn

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

Predicting Dengue Incidence in Brazil Using Broad-Scale Spectral Remote Sensing Imagery.

Amanda Ziemann, Geoffrey Fairchild, Jessica Conrad, Carrie Manore, Nidhi Parikh, Sara Y. Del Valle, Nicholas Generous

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter.

James Theiler, Beate G. Zimmer, Amanda Ziemann

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Variable target detection using Simplex ACE.

Amanda Ziemann, James Theiler

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Segmented regression for spatio-spectral background estimation.

James Theiler, Amanda Ziemann

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Local spectral unmixing for target detection.

Amanda K. Ziemann

Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection.

James Theiler, Amanda K. Ziemann

Proceedings of the Computational Imaging XIV, San Francisco, 2016

2015

Hyperspectral target detection using manifold learning and multiple target spectra.

Amanda K. Ziemann, James Theiler, David W. Messinger

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014

Manifold representations of single and multiple material classes in high resolution HSI.

Amanda K. Ziemann, David W. Messinger

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013

Assessing the impact of the edge-weighting function in a graph-based approach to anomaly detection.

James A. Albano, Amanda K. Ziemann, David W. Messinger

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

2011

Spatially Adaptive Hyperspectral Unmixing.

Kelly Canham, Ariel Schlamm, Amanda Ziemann, Bill Basener, David W. Messinger

IEEE Trans. Geosci. Remote. Sens., 2011

2010

Spectral image complexity estimated through local convex hull volume.

David W. Messinger, Amanda Ziemann, Ariel Schlamm, Bill Basener

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010