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2020 – today
- 2023
[c18]Natalie Klein, Adra Carr, Zigfried Hampel-Arias, Allison Zastrow, Amanda Ziemann, Eric Flynn:
Hyperspectral Target Identification Using Physics-Guided Neural Networks with Explainability and Feature Attribution. IGARSS 2023: 946-949- 2021
- [c17]James Theiler, Stefania Matteoli, Amanda Ziemann:
Bayesian Detection of Solid Subpixel Targets. IGARSS 2021: 3213-3216 - 2020
- [j2]Gemine Vivone
, Paolo Addesso, Amanda Ziemann:
Editorial for Special Issue "Remote Sensing for Target Object Detection and Identification". Remote. Sens. 12(1): 196 (2020) - [c16]Amanda Ziemann, Hope Simonoko, Eric Flynn:
Temporal Anomaly Detection in Multispectral Imagery. IGARSS 2020: 3975-3978 - [c15]Elena C. Reinisch, James Theiler, Amanda Ziemann:
Identifying forest thinning using anomalous change detection on synthetic aperture radar data. SSIAI 2020: 38-41 - [c14]Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. SSIAI 2020: 42-45 - [c13]Sydney DeMets, Amanda Ziemann, Carrie Manore, Curtis Russell:
Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery. SSIAI 2020: 78-81 - [c12]Amanda Ziemann, Travis Pitts:
Exploring feature augmentation as a method for improving panchromatic remote sensing change detection. SSIAI 2020: 82-85 - [c11]Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, Amanda Ziemann, James Theiler:
On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict. SSIAI 2020: 86-89 - [i3]Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. CoRR abs/2005.08892 (2020)
2010 – 2019
- 2019
- [i2]Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux, James Theiler:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. CoRR abs/1911.12546 (2019) - 2018
- [c10]Amanda Ziemann, Geoffrey Fairchild, Jessica Conrad, Carrie Manore, Nidhi Parikh, Sara Y. Del Valle, Nicholas Generous:
Predicting Dengue Incidence in Brazil Using Broad-Scale Spectral Remote Sensing Imagery. IGARSS 2018: 2076-2078 - [c9]James Theiler, Beate G. Zimmer, Amanda Ziemann:
Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. IGARSS 2018: 2773-2776 - [i1]James Theiler, G. Beate Zimmer, Amanda Ziemann:
Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter. CoRR abs/1804.02062 (2018) - 2017
- [c8]Amanda Ziemann, James Theiler:
Variable target detection using Simplex ACE. IGARSS 2017: 1347-1350 - [c7]James Theiler, Amanda Ziemann:
Segmented regression for spatio-spectral background estimation. IGARSS 2017: 3984-3987 - 2016
- [c6]James Theiler, Amanda K. Ziemann:
Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection. Computational Imaging 2016: 1-9 - [c5]Amanda K. Ziemann:
Local spectral unmixing for target detection. SSIAI 2016: 77-80 - 2015
- [c4]Amanda K. Ziemann, James Theiler, David W. Messinger:
Hyperspectral target detection using manifold learning and multiple target spectra. AIPR 2015: 1-7 - 2014
- [c3]Amanda K. Ziemann, David W. Messinger:
Manifold representations of single and multiple material classes in high resolution HSI. WHISPERS 2014: 1-4 - 2013
- [c2]James A. Albano, Amanda K. Ziemann, David W. Messinger:
Assessing the impact of the edge-weighting function in a graph-based approach to anomaly detection. WHISPERS 2013: 1-4 - 2011
- [j1]Kelly Canham, Ariel Schlamm, Amanda Ziemann, Bill Basener, David W. Messinger:
Spatially Adaptive Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 49(11): 4248-4262 (2011) - 2010
- [c1]David W. Messinger, Amanda Ziemann, Ariel Schlamm, Bill Basener:
Spectral image complexity estimated through local convex hull volume. WHISPERS 2010: 1-4
Coauthor Index
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