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William Basener
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2020 – today
- 2024
- [i7]William Basener, Abigail Basener, Michael Luegering:
An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features. CoRR abs/2407.10333 (2024) - 2023
- [j5]Bill Basener
, Abigail Basener
:
Gaussian Process and Deep Learning Atmospheric Correction. Remote. Sens. 15(3): 649 (2023) - [c12]William Basener, Wesley Basener:
Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation. WHISPERS 2023: 1-6 - [c11]William Basener, Jade Preston, Meesun Yang, Michael Luegering:
Ongoing Collection of Hyperspectral, Lidar, and Growth Stage Fundamental Signatures for Vegetation Phenotyping and Large Scale Urban Planning. WHISPERS 2023: 1-5 - [c10]Jade Preston, William Basener:
Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout. WHISPERS 2023: 1-6 - [c9]Jade Preston, William Basener:
Predicting Food Insecurity in Africa From Modis Imagery, Demographics, Economic Factors, Climate, and Supply Chain Information. WHISPERS 2023: 1-10 - [c8]Meesun Yang, William Basener:
Analysis of Spectral Library Variation Using Manifold Learning. WHISPERS 2023: 1-8 - 2022
- [c7]Bill Basener
:
Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities. WHISPERS 2022: 1-7 - [c6]Bill Basener
:
Classifying Crop Types Using Gaussian Bayesian Models and Neural Networks on Ghisaconus USGS Data from NASA Hyperspectral Satellite Imagery. WHISPERS 2022: 1-6 - [c5]Bill Basener
:
Neural Network Learning Of Chemical Bond Representations In Spectral Indices And Features. WHISPERS 2022: 1-9 - [c4]Abigail Basener
, Bill Basener
:
Deep Learning Of Radiative Atmospheric Transfer With An Autoencoder. WHISPERS 2022: 1-7 - [i6]Bill Basener:
Neural Network Learning of Chemical Bond Representations in Spectral Indices and Features. CoRR abs/2207.10530 (2022) - [i5]William Basener, Alexey Castrodad, David W. Messinger, Jennifer Mahle, Paul Prue:
A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery. CoRR abs/2207.10625 (2022) - [i4]Abigail Basener, Bill Basener:
Deep Learning of Radiative Atmospheric Transfer with an Autoencoder. CoRR abs/2207.10650 (2022) - [i3]William Basener:
Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities. CoRR abs/2207.11212 (2022) - [i2]Bill Basener:
Classifying Crop Types using Gaussian Bayesian Models and Neural Networks on GHISACONUS USGS data from NASA Hyperspectral Satellite Imagery. CoRR abs/2207.11228 (2022) - [i1]Bill Basener:
Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology. CoRR abs/2208.12562 (2022)
2010 – 2019
- 2012
- [j4]Ariel Schlamm, David W. Messinger, William Basener
:
Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 409-420 (2012) - 2011
- [j3]Kelly Canham, Ariel Schlamm, Amanda Ziemann, Bill Basener, David W. Messinger:
Spatially Adaptive Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 49(11): 4248-4262 (2011) - [c3]Bill Basener, Ariel Schlamm, David W. Messinger, Emmett J. Ientilucci:
A detection-identification process with geometric target detection and subpixel spectral visualization. WHISPERS 2011: 1-4 - 2010
- [c2]David W. Messinger, Amanda Ziemann, Ariel Schlamm, Bill Basener:
Spectral image complexity estimated through local convex hull volume. WHISPERS 2010: 1-4 - [c1]Ariel Schlamm, David W. Messinger, William Basener
:
Interest segmentation of hyperspectral imagery. WHISPERS 2010: 1-4
2000 – 2009
- 2006
- [j2]William Basener
, Bernard P. Brooks, David S. Ross:
The Brouwer Fixed Point Theorem applied to rumour transmission. Appl. Math. Lett. 19(8): 841-842 (2006) - 2004
- [j1]Bill Basener, David S. Ross:
Booming and Crashing Populations and Easter Island. SIAM J. Appl. Math. 65(2): 684-701 (2004)
Coauthor Index
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