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ORCIDJoshua B. Broadwater
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2020 – today
- 2020
[c19]Blake M. Rankin, Timothy P. Lippa, Joshua B. Broadwater:
Spectral Information Content Algorithm for Automated Signature Assessment. IGARSS 2020: 1790-1792
2010 – 2019
- 2018
- [c18]Blake M. Rankin, Joshua B. Broadwater, Milton Smith:
Anomalous Pixel Replacement and Spectral Quality Algorithm for Longwave Infrared Hyperspectral Imagery. IGARSS 2018: 4316-4319 - 2015
- [c17]Shea Hagstrom, Joshua B. Broadwater:
Atmospheric and shadow compensation of hyperspectral imagery using voxelized LiDAR. IGARSS 2015: 2959-2962 - [c16]Joshua B. Broadwater:
Unified mixing model for hyperspectral imagery. IGARSS 2015: 5051-5054 - 2013
- [c15]Joshua B. Broadwater, Amit Banerjee:
Improved atmospheric compensation of hyperspectral imagery using LIDAR. IGARSS 2013: 2200-2203 - [c14]Joshua B. Broadwater, Jean Dougherty:
The benefits of specral LIDAR for FOPEN applications. IGARSS 2013: 3403-3406 - 2011
- [c13]Joshua B. Broadwater, Amit Banerjee:
Mapping intimate mixtures using an adaptive kernel-based technique. WHISPERS 2011: 1-4 - 2010
- [j2]Joshua B. Broadwater, Rama Chellappa:
Adaptive threshold estimation via extreme value theory. IEEE Trans. Signal Process. 58(2): 490-500 (2010) - [c12]Joshua B. Broadwater, Mary Soules, Reuven Meth, James Ahn:
The noise-adjusted hybrid sub-pixel detector. IGARSS 2010: 3760-3763 - [c11]Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina:
Sparse feature extraction for Support Vector Data Description applications. IGARSS 2010: 4236-4239 - [c10]Joshua B. Broadwater, Amit Banerjee:
A generalized kernel for areal and intimate mixtures. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [c9]Joshua B. Broadwater, Amit Banerjee:
A Neyman-Pearson Approach to Estimating the Number of Endmembers. IGARSS (4) 2009: 693-696 - [c8]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
Hyperspectral video for illumination-invariant tracking. WHISPERS 2009: 1-4 - [c7]Joshua B. Broadwater, Amit Banerjee:
A comparison of kernel functions for intimate mixture models. WHISPERS 2009: 1-4 - 2008
- [c6]Joshua B. Broadwater:
Effects of Endmember Dimensionality on Subpixel Detection Performance. IGARSS (2) 2008: 613-616 - 2007
- [b1]Joshua B. Broadwater:
Physics-Based Detection of Subpixel Targets in Hyperspectral Imagery. University of Maryland, College Park, MD, USA, 2007 - [j1]Joshua B. Broadwater, Rama Chellappa:
Hybrid Detectors for Subpixel Targets. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 1891-1903 (2007) - [c5]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
A machine learning approach for finding hyperspectral endmembers. IGARSS 2007: 3817-3820 - [c4]Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina:
Kernel fully constrained least squares abundance estimates. IGARSS 2007: 4041-4044 - 2006
- [c3]Joshua B. Broadwater, Rama Chellappa:
An Adaptive Threshold Method for Hyperspectral Target Detection. ICASSP (5) 2006: 1201-1204 - 2005
- [c2]Joshua B. Broadwater, Reuven Meth, Rama Chellappa:
Average relative radiance transform for subpixel detection. IGARSS 2005: 3565-3568 - 2004
- [c1]Joshua B. Broadwater, Reuven Meth, Rama Chellappa:
A hybrid algorithm for subpixel detection in hyperspectral imagery. IGARSS 2004: 1601-1604
Coauthor Index
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