William Basener

Orcid: 0000-0002-8593-2362

According to our database1, William Basener authored at least 21 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective.
CoRR, 2024

An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features.
CoRR, 2024

2023
Gaussian Process and Deep Learning Atmospheric Correction.
Remote. Sens., February, 2023

Analysis of Spectral Library Variation Using Manifold Learning.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Predicting Food Insecurity in Africa From Modis Imagery, Demographics, Economic Factors, Climate, and Supply Chain Information.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Ongoing Collection of Hyperspectral, Lidar, and Growth Stage Fundamental Signatures for Vegetation Phenotyping and Large Scale Urban Planning.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022
Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology.
CoRR, 2022

A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery.
CoRR, 2022

Deep Learning Of Radiative Atmospheric Transfer With An Autoencoder.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Neural Network Learning Of Chemical Bond Representations In Spectral Indices And Features.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Classifying Crop Types Using Gaussian Bayesian Models and Neural Networks on Ghisaconus USGS Data from NASA Hyperspectral Satellite Imagery.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

2012
Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

2011
Spatially Adaptive Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2011

A detection-identification process with geometric target detection and subpixel spectral visualization.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010
Interest segmentation of hyperspectral imagery.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Spectral image complexity estimated through local convex hull volume.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

2006
The Brouwer Fixed Point Theorem applied to rumour transmission.
Appl. Math. Lett., 2006

2004
Booming and Crashing Populations and Easter Island.
SIAM J. Appl. Math., 2004


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