Semisupervised Support Vector Machines for Classification of Hyperspectral Remote Sensing Images

Hyperspectral Data Exploitation ◽

10.1002/9780470124628.ch11 ◽

2007 ◽

pp. 275-311 ◽

Author(s):

Lorenzo Bruzzone ◽

Mingmin Chi ◽

Mattia Marconcini

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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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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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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Classification of Hyperspectral Remote Sensing Images by an Ensemble of Support Vector Machines Under Imbalanced Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8519564 ◽

2018 ◽

Author(s):

Laxmi Narayana Eeti ◽

Krishna Mohan Buddhiraju

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Imbalanced Data ◽

Hyperspectral Remote Sensing ◽

Support Vector ◽

Remote Sensing Images ◽

Vector Machines ◽

Hyperspectral Remote Sensing Images

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Classification of hyperspectral remote sensing images with support vector machines

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2004.831865 ◽

2004 ◽

Vol 42 (8) ◽

pp. 1778-1790 ◽

Cited By ~ 2018

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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Classification of hyperspectral remote sensing images with dynamic support vector machine ensemble

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.01590 ◽

2010 ◽

Vol 30 (6) ◽

pp. 1590-1593

Author(s):

Peng NIU ◽

Wei WEI

Keyword(s):

Remote Sensing ◽

Support Vector Machine ◽

Hyperspectral Remote Sensing ◽

Support Vector ◽

Remote Sensing Images ◽

Dynamic Support ◽

Hyperspectral Remote Sensing Images

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Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8517378 ◽

2018 ◽

Author(s):

Ernir Erlingsson ◽

Gabriele Cavallaro ◽

Morris Riedel ◽

Helmut Neukirchen

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

High Resolution ◽

Large Scale ◽

Support Vector ◽

Remote Sensing Images ◽

Exascale Computing ◽

Vector Machines

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Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Hyperspectral Remote Sensing Images

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Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2874432 ◽

2019 ◽

Vol 30 (6) ◽

pp. 1790-1802 ◽

Author(s):

Jiangtao Peng ◽

Luoqing Li ◽

Yuan Yan Tang

Keyword(s):

Remote Sensing ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Sparse Representation ◽

Likelihood Estimation ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Joint Sparse Representation ◽

Hyperspectral Remote Sensing Images

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Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model

IEEE Access ◽

10.1109/access.2020.2986267 ◽

2020 ◽

Vol 8 ◽

pp. 71353-71363 ◽

Author(s):

Zesong Wang ◽

Cui Zou ◽

Weiwei Cai

Keyword(s):

Remote Sensing ◽

Learning Model ◽

Hyperspectral Remote Sensing ◽

Small Sample ◽

Remote Sensing Images ◽

Sample Classification ◽

Hyperspectral Remote Sensing Images

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Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive Autoencoder

Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59129-2_15 ◽

2017 ◽

pp. 169-180 ◽

Author(s):

Aidin Hassanzadeh ◽

Arto Kaarna ◽

Tuomo Kauranne

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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