Improving Background Multivariate Normality and Target Detection Performance using Spatial and Spectral Segmentation. - David W. Messinger; Jason E. West; John R. Schott (IGARSS, 2006)

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

Interest segmentation of hyperspectral imagery. - Ariel Schlamm; David W. Messinger; William Basener (WHISPERS, 2010)

An intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery. - Sreenath Rao Vantaram; Eli Saber; David W. Messinger (ICIP, 2011)

A detection-identification process with geometric target detection and subpixel spectral visualization. - Bill Basener; Ariel Schlamm; David W. Messinger; Emmett J. Ientilucci (WHISPERS, 2011)

Techniques for the graph representation of spectral imagery. - Ryan A. Mercovich; James Albano; David W. Messinger (WHISPERS, 2011)

A graph theoretic approach to anomaly detection in hyperspectral imagery. - David W. Messinger; James Albano (WHISPERS, 2011)

Improved detection and clustering of hyperspectral image data by preprocessing with a euclidean distance transformation. - Ariel Schlamm; David W. Messinger (WHISPERS, 2011)

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

Comparison of hyperion spectral unmixing endmembers to material spectral profiles from Oaxaca, Mexico. - Kelly Canham; Nina G. Raqueno; William Middleton; David W. Messinger (IGARSS, 2012)

Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance. - Ariel Schlamm; David W. Messinger; William Basener (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

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)

Analysis and utility of atmospheric compensation of simulated compressive sensing (CS) measurements. - Maria Busuioceanu; David W. Messinger; John Greer; Christopher Flake (WHISPERS, 2013)

Effects of cubesat design parameters on image quality and feature extraction for 3D reconstruction. - Jordyn Stoddard; David W. Messinger; John P. Kerekes (IGARSS, 2014)

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)

Classification of hyperspectral images based on conditional random fields. - Yang Hu; Eli Saber; Sildomar T. Monteiro; Nathan D. Cahill; David W. Messinger (Image Processing: Machine Vision Applications, 2015)

Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. - Michal Kucer; Nathan D. Cahill; Alexander C. Loui; David W. Messinger (Computational Imaging, 2017)

Methods of data augmentation for palimpsest character recognition with Deep Neural Network. - Anna Starynska; Roger L. Easton Jr.; David W. Messinger (HIP@ICDAR, 2017)

Global and adaptive K-nearest neighbor graphs in a spectral target detector based on Schroedinger Eigenmaps. - Leidy P. Dorado-Muñoz; David W. Messinger (IGARSS, 2017)

Spectral-Density-Based Graph Construction Techniques for Hyperspectral Image Analysis. - Jeffrey R. Stevens 002; Ronald G. Resmini; David W. Messinger (IEEE Trans. Geosci. Remote. Sens., 2017)

Aesthetic Inference for Smart Mobile Devices. - Michal Kucer; David W. Messinger (WACV, 2018)

Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. - Michal Kucer; Alexander C. Loui; David W. Messinger (IEEE Trans. Image Process., 2018)

Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts. - Di Bai 003; David W. Messinger; David Howell (ICPR Workshops (7), 2020)

Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory. - Abu Md Niamul Taufique; David W. Messinger (CoRR, 2021)

Revealing a history: palimpsest text separation with generative networks. - Anna Starynska; David W. Messinger; Yu Kong 001 (Int. J. Document Anal. Recognit., 2021)

Low-Cost Multispectral System Design for Pigment Analysis in Works of Art. - Tania Kleynhans; David W. Messinger; Roger L. Easton Jr.; John K. Delaney (Sensors, 2021)

Virtual Cleaning of Artworks Usinga Deep Generative Network. - Morteza Maali Amiri; David W. Messinger (CVCS, 2022)

A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery. - William Basener; Alexey Castrodad; David W. Messinger; Jennifer Mahle; Paul Prue (CoRR, 2022)

An Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR Hyperspectral Sharpening. - Sihan Huang; David W. Messinger (Remote. Sens., 2022)

An Unsupervised Laplacian Pyramid Network for Radiometrically Accurate Data Fusion of Hyperspectral and Multispectral Imagery. - Sihan Huang; David W. Messinger (IEEE Trans. Geosci. Remote. Sens., 2022)

Image quality and computer vision performance: assessing the effects of image distortions and modeling performance relationships using the general image quality equation. - Austin C. Bergstrom; David W. Messinger (J. Electronic Imaging, 2023)

Image quality and object detection performance. - Austin C. Bergstrom; David W. Messinger (J. Electronic Imaging, 2024)