Ensemble learning and model averaging for material identification in hyperspectral imagery

Author:

Basener William F.1

Affiliation:

1. Spectral Solutions (United States)

Publisher

SPIE

Reference20 articles.

1. A dynamical systems algorithm for clustering in hyperspectral imagery;Messinger,2008

2. Target detection in a forest environment using spectral imagery;Bergman,1997

3. Ensemble based systems in decision making

4. G. Brown, Encyclopedia of Machine Learning, C.Sammut and G.I.Webb (Eds.), Thomson Learning, 2010.

5. When efficient model averaging out-performs boosting and bragging;Davidson,2006

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1. Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31

2. Retrieval of total suspended solids concentration from hyperspectral sensing using hierarchical Bayesian model aggregation for optimal multiple band ratio analysis;Journal of Hydro-environment Research;2023-01

3. Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities;2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2022-09-13

4. Efficient Hyperspectral Target Detection and Identification With Large Spectral Libraries;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2020

5. Geometry of statistical target detection;Journal of Applied Remote Sensing;2017-02-21

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