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ORCIDBrian D. Bue
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- affiliation: Rice University, Houston, USA
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Journal Articles
- 2021
[j12]Nicholas LaHaye
, Michael J. Garay, Brian D. Bue, Hesham M. El-Askary, Erik Linstead:
A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. Remote. Sens. 13(12): 2364 (2021)- 2020
- [j11]Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell, Chiman Kwan, Heni Ben Amor:
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions. Data Min. Knowl. Discov. 34(6): 1642-1675 (2020) - 2019
- [j10]John W. Chapman, David R. Thompson, Mark Helmlinger, Brian D. Bue, Robert O. Green, Michael L. Eastwood, Sven Geier, Winston Olson-Duvall, Sarah R. Lundeen:
Spectral and Radiometric Calibration of the Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG). Remote. Sens. 11(18): 2129 (2019) - [j9]Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Patrick C. Gray, James F. Bell III, Heni Ben Amor:
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3900-3918 (2019) - 2015
- [j8]Brian D. Bue, David R. Thompson, Michael L. Eastwood, Robert O. Green, Bo-Cai Gao, Didier Keymeulen, Charles M. Sarture, Alan S. Mazer, Huy H. Luong:
Real-Time Atmospheric Correction of AVIRIS-NG Imagery. IEEE Trans. Geosci. Remote. Sens. 53(12): 6419-6428 (2015) - 2014
- [j7]Brian D. Bue:
An Evaluation of Low-Rank Mahalanobis Metric Learning Techniques for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1079-1088 (2014) - 2013
- [j6]Brian D. Bue, Erzsébet Merényi:
An Adaptive Similarity Measure for Classification of Hyperspectral Signatures. IEEE Geosci. Remote. Sens. Lett. 10(2): 381-385 (2013) - [j5]David R. Thompson, Benjamin J. Bornstein, Steve A. Chien, Steven Schaffer, Daniel Tran, Brian D. Bue, Rebecca Castaño, Damhnait Gleeson, Aaron Noell:
Autonomous Spectral Discovery and Mapping Onboard the EO-1 Spacecraft. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3567-3579 (2013) - 2010
- [j4]Brian D. Bue, Erzsébet Merényi, Beáta Csathó:
Automated Labeling of Materials in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 48(11): 4059-4070 (2010) - 2007
- [j3]Jingshu Huang, Brian D. Bue, Avin Pattath, David S. Ebert, Krystal M. Thomas:
Interactive Illustrative Rendering on Mobile Devices. IEEE Computer Graphics and Applications 27(3): 48-56 (2007) - [j2]Brian D. Bue, Tomasz F. Stepinski:
Machine Detection of Martian Impact Craters From Digital Topography Data. IEEE Trans. Geosci. Remote. Sens. 45(1): 265-274 (2007) - 2006
- [j1]Brian D. Bue, Tomasz F. Stepinski:
Automated classification of landforms on Mars. Comput. Geosci. 32(5): 604-614 (2006)
Conference and Workshop Papers
- 2020
- [c11]Michael Denbina, Zaid J. Towfic, Matthew Thill, Brian D. Bue, Neda Kasraee, Annemarie Peacock, Yunling Lou:
Flood Mapping Using UAVSAR and Convolutional Neural Networks. IGARSS 2020: 3247-3250 - [c10]David R. Thompson, Brian D. Bue, Riley M. Duren, Clayton D. Elder, Christian Frankenberg, Robert O. Green, Simon J. Hook, Glynn C. Hulley, Charles E. Miller, Andrew K. Thorpe, Philip E. Dennison:
Regional Surveys of CH4 Point Sources Across North America: Campaigns, Algorithms, and Results. IGARSS 2020: 3955-3958 - 2018
- [c9]Mariko S. Burgin, Lukas Mandrake, Gary B. Doran Jr., Brian D. Bue, Jakob J. van Zyl:
Soil Moisture Estimation by Linear Regression from Smap Polarimetric Radar Data with Aquarius Derived Coefficients. IGARSS 2018: 1816-1817 - 2017
- [c8]David R. Thompson, Brian D. Bue, Robert O. Green, Vijay Natraj:
On optimal estimation theory for atmospheric correction in vswir imaging spectroscopy. IGARSS 2017: 3063-3065 - 2013
- [c7]Brian D. Bue, Chris Jermaine:
Multiclass domain adaptation with iterative manifold alignment. WHISPERS 2013: 1-4 - 2011
- [c6]Benjamin J. Bornstein, David R. Thompson, Daniel Tran, Brian D. Bue, Steve A. Chien, Rebecca Castaño:
Efficient spectral endmember detection onboard the EO-1 spacecraft. WHISPERS 2011: 1-4 - [c5]Brian D. Bue, Erzsébet Merényi, Beáta Csathó:
An evaluation of class knowledge transfer from synthetic to real hyperspectral imagery. WHISPERS 2011: 1-4 - [c4]Brian D. Bue, David R. Thompson, Martha S. Gilmore, Rebecca Castaño:
Metric learning for hyperspectral image segmentation. WHISPERS 2011: 1-4 - 2010
- [c3]Brian D. Bue, Erzsébet Merényi:
Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data. WHISPERS 2010: 1-4 - 2009
- [c2]Brian D. Bue, Erzsébet Merényi, Beáta Csathó:
Automated labeling of segmented hyperspectral imagery via spectral matching. WHISPERS 2009: 1-4 - 2006
- [c1]Avin Pattath, Brian D. Bue, Yun Jang, David S. Ebert, Xuan Zhong, Aaron Ault, Edward J. Coyle:
Interactive Visualization and Analysis of Network and Sensor Data on Mobile Devices. IEEE VAST 2006: 83-90
Informal and Other Publications
- 2019
- [i1]Shubhankar Deshpande, Brian D. Bue, David R. Thompson, Vijay Natraj, Mario Parente:
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy. CoRR abs/1906.03479 (2019)
Coauthor Index
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