Application of the stochastic mixing model to hyperspectral resolution enhancement. - Michael T. Eismann; Russell C. Hardie (IEEE Trans. Geosci. Remote. Sens., 2004)

MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor. - Russell C. Hardie; Michael T. Eismann; Gregory L. Wilson (IEEE Trans. Image Process., 2004)

Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions. - Michael T. Eismann; Russell C. Hardie (IEEE Trans. Geosci. Remote. Sens., 2005)

Hyperspectral Change Detection: Methodology and Challenges. - Michael T. Eismann; Joseph Meola (IGARSS (2), 2008)

Hyperspectral Change Detection in the Presenceof Diurnal and Seasonal Variations. - Michael T. Eismann; Joseph Meola; Russell C. Hardie (IEEE Trans. Geosci. Remote. Sens., 2008)

Automated Hyperspectral Cueing for Civilian Search and Rescue. - Michael T. Eismann; Alan D. Stocker; Nasser M. Nasrabadi (Proc. IEEE, 2009)

Automated hyperspectral target detection and change detection from an airborne platform: Progress and challenges. - Michael T. Eismann; Joseph Meola; Alan D. Stocker (IGARSS, 2010)

Detecting Changes in Hyperspectral Imagery Using a Model-Based Approach. - Joseph Meola; Michael T. Eismann; Randolph L. Moses; Joshua N. Ash (IEEE Trans. Geosci. Remote. Sens., 2011)

Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation. - Ryan N. Givens; Karl C. Walli; Michael T. Eismann (AIPR, 2012)

Hyperspectral imaging phenomenology for the detection and tracking of pedestrians. - Jared Herweg; John P. Kerekes; Michael T. Eismann (IGARSS, 2012)

Removing parallax-induced changes in Hyperspectral Change Detection. - Karmon Vongsy; Michael J. Mendenhall; Michael T. Eismann; Gilbert L. Peterson (IGARSS, 2012)

Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery. - Joseph Meola; Michael T. Eismann; Randolph L. Moses; Joshua N. Ash (IEEE Trans. Geosci. Remote. Sens., 2012)

A multimodal approach to high resolution image classification. - Ryan N. Givens; Karl C. Walli; Michael T. Eismann (AIPR, 2013)

Evaluating the Lidar/HSI direct method for physics-based scene modeling. - Ryan N. Givens; Karl C. Walli; Michael T. Eismann (AIPR, 2014)

Assessment of Spatial-Spectral Feature-Level Fusion for Hyperspectral Target Detection. - Jason Kaufman; Michael T. Eismann; Mehmet Celenk (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of Residual Spatial Misregistration. - Karmon Vongsy; Michael T. Eismann; Michael J. Mendenhall (IEEE Trans. Geosci. Remote. Sens., 2015)

A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images. - Jin Zhou 005; Chiman Kwan; Bulent Ayhan; Michael T. Eismann (IEEE Trans. Geosci. Remote. Sens., 2016)

Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification. - Blake M. Rankin; Joseph Meola; Michael T. Eismann (IEEE Trans. Geosci. Remote. Sens., 2017)