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Journal Articles
- 2002
[j2]David W. J. Stein, Scott G. Beaven, Lawrence E. Hoff, Edwin M. Winter, Alan P. Schaum, Alan D. Stocker:
Anomaly detection from hyperspectral imagery. IEEE Signal Process. Mag. 19(1): 58-69 (2002)- 1993
- [j1]Alan P. Schaum:
Theory and Design of Local Interpolators. CVGIP Graph. Model. Image Process. 55(6): 464-481 (1993)
Conference and Workshop Papers
- 2023
- [c22]Alan P. Schaum:
Detection Algorithms for Low-Swap Hyperspectral Platforms. IGARSS 2023: 2161-2164 - 2020
- [c21]James Theiler, Alan P. Schaum:
Some Closed-Form Expressions for Absorptive Plume Detection. IGARSS 2020: 1786-1789 - [c20]Alan P. Schaum:
Hyperstring Construction of Sub-Pixel Detectors. IGARSS 2020: 3951-3954 - 2018
- [c19]Alan P. Schaum:
Principles of Dual Fusion Detection. AIPR 2018: 1-4 - [c18]Alan P. Schaum:
Spectral Detection on a Manifold for Finding Undersea Objects. IGARSS 2018: 4253-4256 - 2015
- [c17]Alan P. Schaum, Eric Allman, Robert A. Leathers:
Spectral ship surveillance from space. AIPR 2015: 1-8 - [c16]Alan P. Schaum:
Deconstructing optimal detection algorithms. WHISPERS 2015: 1-4 - 2014
- [c15]Alan P. Schaum:
Bayesian solutions to non-Bayesian detection problems: Unification through fusion. AIPR 2014: 1-4 - [c14]Alan P. Schaum:
Progress in detector fusion. WHISPERS 2014: 1-4 - 2013
- [c13]Alan P. Schaum:
Continuum fusion versions of the finite target matched filter for sub-pixel detection. WHISPERS 2013: 1-4 - 2011
- [c12]Alan P. Schaum:
CFAR fusion: A replacement for the generalized likelihood ratio test for Neyman-Pearson problems. AIPR 2011: 1-6 - 2010
- [c11]Alan P. Schaum:
Algorithms with attitude. AIPR 2010: 1-6 - [c10]Alan P. Schaum:
Plenary speaker 1: Continuum fusion: A new theory of inference. WHISPERS 2010: 1-4 - 2009
- [c9]Alan P. Schaum:
Advanced hyperspectral detection based on elliptically contoured distribution models and operator feedback. AIPR 2009: 1-5 - [c8]Alan P. Schaum:
Remote spectral detection using a laboratory signature. WHISPERS 2009: 1-4 - 2008
- [c7]Alan P. Schaum:
Principles of local polynomial interpolation. AIPR 2008: 1-6 - 2007
- [c6]Alan P. Schaum:
Adapting to Change: The CFAR Problem in Advanced Hyperspectral Detection. AIPR 2007: 15-21 - 2006
- [c5]Alan P. Schaum:
Autonomous Hyperspectral Target Detection with Quasi-Stationarity Violation at Background Boundaries. AIPR 2006: 16 - 2005
- [c4]Alan P. Schaum:
Hyperspectral Detection Algorithms: Operational, Next Generation, on the Horizon. AIPR 2005: 74-80 - 2004
- [c3]Alan P. Schaum, Alan Stocker:
Advanced Algorithms for Autonomous Hyperspectral Change Detection. AIPR 2004: 33-38 - 2003
- [c2]Alan P. Schaum:
Data Association for Fusion in Spatial and Spectral Imaging. AIPR 2003: 87-92 - 2002
- [c1]Alan P. Schaum:
Matched Affine Joint Subspace Detection in Remote Hyperspectral Reconnaissance. AIPR 2002: 13-18
Coauthor Index
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