Michael T. Eismann

According to our database, Michael T. Eismann authored at least 18 papers between 2004 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

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

2016

A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images.

Jin Zhou, Chiman Kwan, Bulent Ayhan, Michael T. Eismann

IEEE Trans. Geosci. Remote. Sens., 2016

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

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

2014

Evaluating the Lidar/HSI direct method for physics-based scene modeling.

Ryan N. Givens, Karl C. Walli, Michael T. Eismann

Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014

2013

A multimodal approach to high resolution image classification.

Ryan N. Givens, Karl C. Walli, Michael T. Eismann

Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2013

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

Removing parallax-induced changes in Hyperspectral Change Detection.

Karmon Vongsy, Michael J. Mendenhall, Michael T. Eismann, Gilbert L. Peterson

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Hyperspectral imaging phenomenology for the detection and tracking of pedestrians.

Jared Herweg, John P. Kerekes, Michael T. Eismann

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

Proceedings of the 2012 IEEE Applied Imagery Pattern Recognition Workshop, 2012

2011

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

2010

Automated hyperspectral target detection and change detection from an airborne platform: Progress and challenges.

Michael T. Eismann, Joseph Meola, Alan D. Stocker

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Automated Hyperspectral Cueing for Civilian Search and Rescue.

Michael T. Eismann, Alan D. Stocker, Nasser M. Nasrabadi

Proc. IEEE, 2009

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

Hyperspectral Change Detection: Methodology and Challenges.

Michael T. Eismann, Joseph Meola

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2005

Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions.

Michael T. Eismann, Russell C. Hardie

IEEE Trans. Geosci. Remote. Sens., 2005

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

Application of the stochastic mixing model to hyperspectral resolution enhancement.

Michael T. Eismann, Russell C. Hardie

IEEE Trans. Geosci. Remote. Sens., 2004