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ORCIDMichael T. Eismann
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2010 – 2019
- 2017
[j11]Blake M. Rankin
, Joseph Meola, Michael T. Eismann:
Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification. IEEE Trans. Geosci. Remote. Sens. 55(12): 6726-6735 (2017)- 2016
- [j10]Jin Zhou, Chiman Kwan, Bulent Ayhan, Michael T. Eismann:
A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(11): 6497-6504 (2016) - 2015
- [j9]Jason Kaufman, Michael T. Eismann, Mehmet Celenk:
Assessment of Spatial-Spectral Feature-Level Fusion for Hyperspectral Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2534-2544 (2015) - [j8]Karmon Vongsy, Michael T. Eismann, Michael J. Mendenhall:
Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of Residual Spatial Misregistration. IEEE Trans. Geosci. Remote. Sens. 53(6): 3005-3021 (2015) - 2014
- [c8]Ryan N. Givens, Karl C. Walli, Michael T. Eismann:
Evaluating the Lidar/HSI direct method for physics-based scene modeling. AIPR 2014: 1-6 - 2013
- [c7]Ryan N. Givens, Karl C. Walli, Michael T. Eismann:
A multimodal approach to high resolution image classification. AIPR 2013: 1-7 - 2012
- [j7]Joseph Meola, Michael T. Eismann, Randolph L. Moses, Joshua N. Ash:
Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 50(10): 3693-3706 (2012) - [c6]Ryan N. Givens, Karl C. Walli, Michael T. Eismann:
Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation. AIPR 2012: 1-7 - [c5]Ryan N. Givens, Karl C. Walli, Michael T. Eismann:
Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation. AIPR 2012: 1-7 - [c4]Karmon Vongsy, Michael J. Mendenhall, Michael T. Eismann, Gilbert L. Peterson:
Removing parallax-induced changes in Hyperspectral Change Detection. IGARSS 2012: 2012-2015 - [c3]Jared Herweg, John P. Kerekes, Michael T. Eismann:
Hyperspectral imaging phenomenology for the detection and tracking of pedestrians. IGARSS 2012: 5482-5485 - 2011
- [j6]Joseph Meola, Michael T. Eismann, Randolph L. Moses, Joshua N. Ash:
Detecting Changes in Hyperspectral Imagery Using a Model-Based Approach. IEEE Trans. Geosci. Remote. Sens. 49(7): 2647-2661 (2011) - 2010
- [c2]Michael T. Eismann, Joseph Meola, Alan D. Stocker:
Automated hyperspectral target detection and change detection from an airborne platform: Progress and challenges. IGARSS 2010: 4354-4357
2000 – 2009
- 2009
- [j5]Michael T. Eismann, Alan D. Stocker, Nasser M. Nasrabadi:
Automated Hyperspectral Cueing for Civilian Search and Rescue. Proc. IEEE 97(6): 1031-1055 (2009) - 2008
- [j4]Michael T. Eismann, Joseph Meola, Russell C. Hardie:
Hyperspectral Change Detection in the Presenceof Diurnal and Seasonal Variations. IEEE Trans. Geosci. Remote. Sens. 46(1): 237-249 (2008) - [c1]Michael T. Eismann, Joseph Meola:
Hyperspectral Change Detection: Methodology and Challenges. IGARSS (2) 2008: 605-608 - 2005
- [j3]Michael T. Eismann, Russell C. Hardie:
Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions. IEEE Trans. Geosci. Remote. Sens. 43(3): 455-465 (2005) - 2004
- [j2]Michael T. Eismann, Russell C. Hardie:
Application of the stochastic mixing model to hyperspectral resolution enhancement. IEEE Trans. Geosci. Remote. Sens. 42(9): 1924-1933 (2004) - [j1]Russell C. Hardie, Michael T. Eismann, Gregory L. Wilson:
MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor. IEEE Trans. Image Process. 13(9): 1174-1184 (2004)
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