David W. Messinger

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 14

Top Topics

Target Detection

Design Parameters

Nearest Neighbor

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Sihan Huang, David W. Messinger
An Unsupervised Laplacian Pyramid Network for Radiometrically Accurate Data Fusion of Hyperspectral and Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
William Basener, Alexey Castrodad, David W. Messinger, Jennifer Mahle, Paul Prue
A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery. CoRR (2022)
Sihan Huang, David W. Messinger
An Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR Hyperspectral Sharpening. Remote. Sens. 14 (17) (2022)
Morteza Maali Amiri, David W. Messinger
Virtual Cleaning of Artworks Usinga Deep Generative Network. CVCS (2022)
Abu Md Niamul Taufique, David W. Messinger
Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory. CoRR (2021)
Anna Starynska, David W. Messinger, Yu Kong
Revealing a history: palimpsest text separation with generative networks. Int. J. Document Anal. Recognit. 24 (3) (2021)
Tania Kleynhans, David W. Messinger, Roger L. Easton Jr., John K. Delaney
Low-Cost Multispectral System Design for Pigment Analysis in Works of Art. Sensors 21 (15) (2021)
Di Bai, David W. Messinger, David Howell
Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts. ICPR Workshops (7) (2020)
Michal Kucer, Alexander C. Loui, David W. Messinger
Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. IEEE Trans. Image Process. 27 (10) (2018)
Michal Kucer, David W. Messinger
Aesthetic Inference for Smart Mobile Devices. WACV (2018)
Leidy P. Dorado-Muñoz, David W. Messinger
Global and adaptive K-nearest neighbor graphs in a spectral target detector based on Schroedinger Eigenmaps. IGARSS (2017)
Jeffrey R. Stevens, Ronald G. Resmini, David W. Messinger
Spectral-Density-Based Graph Construction Techniques for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 55 (10) (2017)
Anna Starynska, Roger L. Easton Jr., David W. Messinger
Methods of data augmentation for palimpsest character recognition with Deep Neural Network. HIP@ICDAR (2017)
Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger
Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. Computational Imaging (2017)
Amanda K. Ziemann, James Theiler, David W. Messinger
Hyperspectral target detection using manifold learning and multiple target spectra. AIPR (2015)
Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger
Classification of hyperspectral images based on conditional random fields. Image Processing: Machine Vision Applications (2015)
Amanda K. Ziemann, David W. Messinger
Manifold representations of single and multiple material classes in high resolution HSI. WHISPERS (2014)
Jordyn Stoddard, David W. Messinger, John P. Kerekes
Effects of cubesat design parameters on image quality and feature extraction for 3D reconstruction. IGARSS (2014)
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)
Maria Busuioceanu, David W. Messinger, John Greer, Christopher Flake
Analysis and utility of atmospheric compensation of simulated compressive sensing (CS) measurements. WHISPERS (2013)
Kelly Canham, Nina G. Raqueno, William Middleton, David W. Messinger
Comparison of hyperion spectral unmixing endmembers to material spectral profiles from Oaxaca, Mexico. IGARSS (2012)
Ariel Schlamm, David W. Messinger, William Basener
Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (2) (2012)
Sreenath Rao Vantaram, Eli Saber, David W. Messinger
An intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery. ICIP (2011)
David W. Messinger, James Albano
A graph theoretic approach to anomaly detection in hyperspectral imagery. WHISPERS (2011)
Ryan A. Mercovich, James Albano, David W. Messinger
Techniques for the graph representation of spectral imagery. WHISPERS (2011)
Ariel Schlamm, David W. Messinger
Improved detection and clustering of hyperspectral image data by preprocessing with a euclidean distance transformation. WHISPERS (2011)
Bill Basener, Ariel Schlamm, David W. Messinger, Emmett J. Ientilucci
A detection-identification process with geometric target detection and subpixel spectral visualization. WHISPERS (2011)
Kelly Canham, Ariel Schlamm, Amanda Ziemann, Bill Basener, David W. Messinger
Spatially Adaptive Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 49 (11) (2011)
David W. Messinger, Amanda Ziemann, Ariel Schlamm, Bill Basener
Spectral image complexity estimated through local convex hull volume. WHISPERS (2010)
Ariel Schlamm, David W. Messinger, William Basener
Interest segmentation of hyperspectral imagery. WHISPERS (2010)
David W. Messinger, Jason E. West, John R. Schott
Improving Background Multivariate Normality and Target Detection Performance using Spatial and Spectral Segmentation. IGARSS (2006)