Fuzzy C-Mean for Unsupervised Spectral-Spatial SVM Classification of Hyperspectral Images

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) ◽

10.1109/aiccsa.2017.63 ◽

2017 ◽

Author(s):

Rafika Ben Salem ◽

Karim Saheb Ettabaa ◽

Mohamed Ali Hamdi

Keyword(s):

Hyperspectral Images ◽

Svm Classification

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Clustering-Based Extraction of Border Training Patterns for Accurate SVM Classification of Hyperspectral Images

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2009.2026656 ◽

2009 ◽

Vol 6 (4) ◽

pp. 840-844 ◽

Cited By ~ 30

Author(s):

B. Demir ◽

S. Erturk

Keyword(s):

Hyperspectral Images ◽

Svm Classification

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SVM classification of hyperspectral images using the combination of spectral bands and Moran's I features

2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP) ◽

10.1109/iranianmvip.2017.8342334 ◽

2017 ◽

Author(s):

Behnam Asghari Beirami ◽

Mehdi Mokhtarzade

Keyword(s):

Hyperspectral Images ◽

Moran’S I ◽

Moran's I ◽

Svm Classification ◽

Spectral Bands

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NEURAL NETWORK CLASSIFICATION OF HYPERSPECTRAL IMAGES ON THE BASIS OF THE HILBERT-HUANG TRANSFORM

Автометрия ◽

10.15372/aut20170209 ◽

2017 ◽

Keyword(s):

Neural Network ◽

Hyperspectral Images ◽

Hilbert Huang Transform ◽

Neural Network Classification

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Classification of hyperspectral images based on multifractal features and support vector machine

Geodesy and Aerophotosurveying ◽

10.30533/0536-101x-2018-62-5-558-562 ◽

2018 ◽

Vol 62 (5) ◽

pp. 558-562

Author(s):

Uchaev D.V. ◽

◽

Uchaev Dm.V. ◽

Malinnikov V.A. ◽

◽

...

Keyword(s):

Support Vector Machine ◽

Hyperspectral Images ◽

Support Vector

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Hierarchical method and hyperspectral images for classification of blood stains on colored and printed fabrics

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2021.104253 ◽

2021 ◽

Vol 210 ◽

pp. 104253

Author(s):

José F.Q. Pereira ◽

Maria Fernanda Pimentel ◽

Ricardo S. Honorato ◽

Rasmus Bro

Keyword(s):

Hyperspectral Images ◽

Blood Stains ◽

Hierarchical Method

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Nonparametric feature extraction for classification of hyperspectral images with limited training samples

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2016.05.009 ◽

2016 ◽

Vol 119 ◽

pp. 64-78 ◽

Cited By ~ 26

Author(s):

Azadeh Kianisarkaleh ◽

Hassan Ghassemian

Keyword(s):

Feature Extraction ◽

Hyperspectral Images ◽

Training Samples ◽

Limited Training Samples

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Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2009.2037132 ◽

2010 ◽

Vol 40 (5) ◽

pp. 1267-1279 ◽

Cited By ~ 196

Author(s):

Y Tarabalka ◽

J Chanussot ◽

J A Benediktsson

Keyword(s):

Hyperspectral Images ◽

Spanning Forest ◽

Minimum Spanning Forest

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De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures

Bioinformatics ◽

10.1093/bioinformatics/btm026 ◽

2007 ◽

Vol 23 (11) ◽

pp. 1321-1330 ◽

Cited By ~ 163

Author(s):

Kwang Loong Stanley Ng ◽

Santosh K. Mishra

Keyword(s):

De Novo ◽

Svm Classification

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Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2286078 ◽

2014 ◽

Vol 11 (6) ◽

pp. 1066-1070 ◽

Cited By ~ 94

Author(s):

Yakoub Bazi ◽

Naif Alajlan ◽

Farid Melgani ◽

Haikel AlHichri ◽

Salim Malek ◽

...

Keyword(s):

Differential Evolution ◽

Extreme Learning Machine ◽

Hyperspectral Images ◽

Learning Machine

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Domain Adaptation for Robust Classification of Disparate Hyperspectral Images

IEEE Transactions on Computational Imaging ◽

10.1109/tci.2017.2752150 ◽

2017 ◽

Vol 3 (4) ◽

pp. 822-836 ◽

Cited By ~ 6

Author(s):

Xiong Zhou ◽

Saurabh Prasad

Keyword(s):

Domain Adaptation ◽

Hyperspectral Images ◽

Robust Classification

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