Amanda Ziemann
Titolo
Citata da
Citata da
Anno
Spatially adaptive hyperspectral unmixing
K Canham, A Schlamm, A Ziemann, B Basener, D Messinger
IEEE Transactions on Geoscience and Remote Sensing 49 (11), 4248-4262, 2011
602011
Iterative convex hull volume estimation in hyperspectral imagery for change detection
A Ziemann, D Messinger, B Basener
Proc. SPIE 7695, 76951I, 2010
342010
Spectral image complexity estimated through local convex hull volume
D Messinger, A Ziemann, A Schlamm, B Basener
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution iná…, 2010
312010
Metrics of spectral image complexity with application to large area search
DW Messinger, AK Ziemann, A Schlamm, W Basener
Optical Engineering 51 (3), 036201, 2012
292012
An adaptive locally linear embedding manifold learning approach for hyperspectral target detection
AK Ziemann, DW Messinger
Proc. SPIE 9472, 94720O, 2015
222015
Hyperspectral target detection using manifold learning and multiple target spectra
AK Ziemann, J Theiler, DW Messinger
2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2015
172015
Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment
AW Bartlow, C Manore, C Xu, KA Kaufeld, S Del Valle, A Ziemann, ...
Veterinary sciences 6 (2), 40, 2019
142019
Multi-sensor anomalous change detection at scale
A Ziemann, CX Ren, J Theiler
Algorithms, Technologies, and Applications for Multispectral andá…, 2019
142019
Simplex ACE: a constrained subspace detector
A Ziemann, J Theiler
Optical Engineering 56 (8), 081808, 2017
122017
Hyperspectral target detection using graph theory models and manifold geometry via an adaptive implementation of locally linear embedding
AK Ziemann, DW Messinger
Proc. SPIE 9088, 90880B, 2014
122014
Spectral Variability of Remotely Sensed Target Materials: Causes, Models, and Strategies for Mitigation and Robust Exploitation
J Theiler, A Ziemann, S Matteoli, M Diani
IEEE Geoscience and Remote Sensing Magazine 7 (2), 8-30, 2019
82019
Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter
J Theiler, B Zimmer, A Ziemann
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
82018
Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection
J Theiler, AK Ziemann
Electronic Imaging 2016 (19), 1-9, 2016
82016
Assessing the impact of background spectral graph construction techniques on the topological anomaly detection algorithm
AK Ziemann, DW Messinger, JA Albano, WF Basener
SPIE Defense, Security, and Sensing, 83901Z-83901Z-11, 2012
82012
An adaptive k-nearest neighbor graph building technique with applications to hyperspectral imagery
AK Ziemann, DW Messinger, PS Wenger
2014 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 32-36, 2014
62014
Target detection using the background model from the topological anomaly detection algorithm
LPD Munoz, DW Messinger, AK Ziemann
Proc. of SPIE Vol 8743, 87430M-1, 2013
62013
Target detection performed on manifold approximations recovered from hyperspectral data
AK Ziemann, DW Messinger, JA Albano
SPIE Defense, Security, and Sensing, 874319-874319, 2013
62013
A machine learning approach to hyperspectral detection of solid targets
A Ziemann, M Kucer, J Theiler
Algorithms and Technologies for Multispectral, Hyperspectral, andá…, 2018
52018
Predicting Dengue Incidence in Brazil Using Broad-Scale Spectral Remote Sensing Imagery
A Ziemann, G Fairchild, J Conrad, C Manore, N Parikh, S Del Valle, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
42018
Local background estimation and the replacement target model
J Theiler, A Ziemann
SPIE Defense+ Security, 101980V-101980V-10, 2017
42017
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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