Support vector machines in remote sensing: the tricks of the trade

Mapping Intimacies ◽

10.1117/12.903949 ◽

2011 ◽

Author(s):

Gustavo Camps-Valls

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Using lidar remote sensing and support vector machines to classify fire disturbance legacies in a Florida oak scrub landscape

Nature Precedings ◽

10.1038/npre.2009.3610.1 ◽

2009 ◽

Author(s):

James Angelo ◽

Brean Duncan ◽

John Weishampel

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Fire Disturbance ◽

Support Vector ◽

Vector Machines

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Neural Networks and Support Vector Machines and Their Application to Aerosol and Cloud Remote Sensing: A Review

Springer Series in Light Scattering ◽

10.1007/978-3-319-70796-9_4 ◽

2018 ◽

pp. 279-329 ◽

Author(s):

Antonio Di Noia ◽

Otto P. Hasekamp

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Estimating biophysical parameters of rice with remote sensing data using support vector machines

Science China Life Sciences ◽

10.1007/s11427-011-4135-4 ◽

2011 ◽

Vol 54 (3) ◽

pp. 272-281 ◽

Author(s):

XiaoHua Yang ◽

JingFeng Huang ◽

YaoPing Wu ◽

JianWen Wang ◽

Pei Wang ◽

...

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Remote Sensing Data ◽

Support Vector ◽

Biophysical Parameters ◽

Sensing Data ◽

Vector Machines

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Estimation of Air Surface Temperature From Remote Sensing Images and Pixelwise Modeling of the Estimation Uncertainty Through Support Vector Machines

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

10.1109/jstars.2014.2361862 ◽

2015 ◽

Vol 8 (1) ◽

pp. 332-349 ◽

Author(s):

Gabriele Moser ◽

Michaela De Martino ◽

Sebastiano B. Serpico

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Surface Temperature ◽

Support Vector ◽

Remote Sensing Images ◽

Estimation Uncertainty ◽

Vector Machines

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Remote Sensing Image Classification with Multiple Classifiers Based on Support Vector Machines

2012 Fifth International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2012.55 ◽

2012 ◽

Author(s):

Wei Wu ◽

Guanglai Gao

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Image Classification ◽

Remote Sensing Image ◽

Support Vector ◽

Multiple Classifiers ◽

Remote Sensing Image Classification ◽

Vector Machines

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Support vector machines for remote sensing image classification

10.1117/12.413892 ◽

2001 ◽

Author(s):

Fabio Roli ◽

Giorgio Fumera

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Image Classification ◽

Remote Sensing Image ◽

Support Vector ◽

Remote Sensing Image Classification ◽

Vector Machines

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Classification of Hyperspectral Remote Sensing Images with Support Vector Machines and Particle Swarm Optimization

2009 International Conference on Information Engineering and Computer Science ◽

10.1109/iciecs.2009.5363456 ◽

2009 ◽

Author(s):

Sheng Ding ◽

Li Chen

Keyword(s):

Remote Sensing ◽

Particle Swarm Optimization ◽

Support Vector Machines ◽

Hyperspectral Remote Sensing ◽

Support Vector ◽

Remote Sensing Images ◽

Swarm Optimization ◽

Vector Machines ◽

Hyperspectral Remote Sensing Images

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Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2019.04.016 ◽

2019 ◽

Vol 152 ◽

pp. 192-210 ◽

Author(s):

Shahriar S. Heydari ◽

Giorgos Mountrakis

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Support Vector Machines ◽

Comparative Study ◽

Deep Neural Networks ◽

Meta Analysis ◽

Support Vector ◽

Vector Machines

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Support vector machines for classification of hyperspectral remote-sensing images

IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2002.1025088 ◽

2003 ◽

Author(s):

F. Melgani ◽

L. Bruzzone

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Hyperspectral Remote Sensing ◽

Support Vector ◽

Remote Sensing Images ◽

Vector Machines ◽

Hyperspectral Remote Sensing Images

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Optimal Support Vector Machines for forest above-ground biomass estimation from multisource remote sensing data

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6352721 ◽

2012 ◽

Author(s):

Ying Guo ◽

Zengyuan Li ◽

Xu Zhang ◽

Er-xue Chen ◽

Lina Bai ◽

...

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Remote Sensing Data ◽

Support Vector ◽

Biomass Estimation ◽

Above Ground Biomass ◽

Sensing Data ◽

Ground Biomass ◽

Vector Machines

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