Spectral image complexity estimated through local convex hull volume. - David W. Messinger; Amanda Ziemann; Ariel Schlamm; Bill Basener (WHISPERS, 2010)

Spatially Adaptive Hyperspectral Unmixing. - Kelly Canham; Ariel Schlamm; Amanda Ziemann; Bill Basener; David W. Messinger (IEEE Trans. Geosci. Remote. Sens., 2011)

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 (WHISPERS, 2013)

Manifold representations of single and multiple material classes in high resolution HSI. - Amanda K. Ziemann; David W. Messinger (WHISPERS, 2014)

Hyperspectral target detection using manifold learning and multiple target spectra. - Amanda K. Ziemann; James Theiler; David W. Messinger (AIPR, 2015)

Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection. - James Theiler; Amanda K. Ziemann (Computational Imaging, 2016)

Local spectral unmixing for target detection. - Amanda K. Ziemann (SSIAI, 2016)

Segmented regression for spatio-spectral background estimation. - James Theiler; Amanda Ziemann (IGARSS, 2017)

Variable target detection using Simplex ACE. - Amanda Ziemann; James Theiler (IGARSS, 2017)

Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. - James Theiler; Beate G. Zimmer; Amanda Ziemann (IGARSS, 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 (IGARSS, 2018)

Temporal Anomaly Detection in Multispectral Imagery. - Amanda Ziemann; Hope Simonoko; Eric Flynn (IGARSS, 2020)

Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery. - Sydney DeMets; Amanda Ziemann; Carrie Manore; Curtis Russell (SSIAI, 2020)

Identifying forest thinning using anomalous change detection on synthetic aperture radar data. - Elena C. Reinisch; James Theiler; Amanda Ziemann (SSIAI, 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 (SSIAI, 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 (SSIAI, 2020)

Exploring feature augmentation as a method for improving panchromatic remote sensing change detection. - Amanda Ziemann; Travis Pitts (SSIAI, 2020)

Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. - Christopher X. Ren; Amanda Ziemann; James Theiler; Alice M. S. Durieux (CoRR, 2020)

Editorial for Special Issue "Remote Sensing for Target Object Detection and Identification". - Gemine Vivone; Paolo Addesso; Amanda Ziemann (Remote. Sens., 2020)

Bayesian Detection of Solid Subpixel Targets. - James Theiler; Stefania Matteoli; Amanda Ziemann (IGARSS, 2021)

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 (IGARSS, 2023)