Ensemble learning and model averaging for material identification in hyperspectral imagery

Using a linear subspace approach for invariant subpixel material identification in airborne hyperspectral imagery

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) ◽

10.1109/cvpr.1999.786995 ◽

2003 ◽

Cited By ~ 1

Author(s):

B. Thai ◽

G. Healey

Keyword(s):

Linear Subspace ◽

Hyperspectral Imagery ◽

Material Identification

Download Full-text

Methods and challenges for target detection and material identification for longwave infrared hyperspectral imagery

10.1117/12.2225914 ◽

2016 ◽

Cited By ~ 1

Author(s):

Blake M. Rankin ◽

Joseph Meola ◽

David L. Perry ◽

Jason R. Kaufman

Keyword(s):

Target Detection ◽

Hyperspectral Imagery ◽

Material Identification

Download Full-text

Hyperspectral Imagery Classification via Random Multi-Graphs Ensemble Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3132993 ◽

2021 ◽

pp. 1-1

Author(s):

Yanling Miao ◽

Mulin Chen ◽

Yuan Yuan ◽

Jocelyn Chanussot ◽

Qi Wang

Keyword(s):

Ensemble Learning ◽

Hyperspectral Imagery

Download Full-text

Exploiting an atmospheric model for automated invariant material identification in hyperspectral imagery

10.1117/12.312609 ◽

1998 ◽

Cited By ~ 12

Author(s):

David Slater ◽

Glenn Healey

Keyword(s):

Hyperspectral Imagery ◽

Atmospheric Model ◽

Material Identification

Download Full-text

Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2020.123288 ◽

2021 ◽

Vol 401 ◽

pp. 123288 ◽

Cited By ~ 1

Author(s):

Kun Tan ◽

Weibo Ma ◽

Lihan Chen ◽

Huimin Wang ◽

Qian Du ◽

...

Keyword(s):

Heavy Metals ◽

Ensemble Learning ◽

Hyperspectral Imagery ◽

Mining Area ◽

Soil Heavy Metals

Download Full-text

A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning

Renewable Energy ◽

10.1016/j.renene.2019.07.166 ◽

2020 ◽

Vol 145 ◽

pp. 2426-2434 ◽

Cited By ~ 16

Author(s):

Gang Wang ◽

Ru Jia ◽

Jinhai Liu ◽

Huaguang Zhang

Keyword(s):

Wind Power ◽

Ensemble Learning ◽

Bayesian Model ◽

Bayesian Model Averaging ◽

Model Averaging ◽

Wind Power Forecasting ◽

Power Forecasting

Download Full-text

Material identification and classification in hyperspectral imagery using the normal compositional model

10.1117/12.488331 ◽

2003 ◽

Cited By ~ 4

Author(s):

David W. J. Stein

Keyword(s):

Hyperspectral Imagery ◽

Material Identification ◽

Compositional Model

Download Full-text

Material identification using fuzzy-classification of high resolution hyperspectral imagery of an urban area

Optical Sensors and Sensing Congress (ES, FTS, HISE, Sensors) ◽

10.1364/hise.2019.htu3b.4 ◽

2019 ◽

Author(s):

Meghana Paranjape ◽

François Cavayas

Keyword(s):

High Resolution ◽

Urban Area ◽

Hyperspectral Imagery ◽

Fuzzy Classification ◽

Material Identification

Download Full-text

Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2731955 ◽

2017 ◽

Vol 55 (12) ◽

pp. 6726-6735 ◽

Cited By ~ 3

Author(s):

Blake M. Rankin ◽

Joseph Meola ◽

Michael T. Eismann

Keyword(s):

Bayesian Model ◽

Bayesian Model Averaging ◽

Target Identification ◽

Hyperspectral Imagery ◽

Model Averaging ◽

Spectral Radiance

Download Full-text

Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.803418 ◽

1999 ◽

Vol 37 (6) ◽

pp. 2706-2717 ◽

Cited By ~ 130

Author(s):

G. Healey ◽

D. Slater

Keyword(s):

Hyperspectral Imagery ◽

Atmospheric Conditions ◽

Material Identification

Download Full-text