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

Uchaev D.V.;  ; Uchaev Dm.V.; Malinnikov V.A.;  ;

doi:10.30533/0536-101x-2018-62-5-558-562

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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Classification of hyperspectral images using unsupervised support vector machine

Image and Signal Processing for Remote Sensing XXIII ◽

10.1117/12.2278058 ◽

2017 ◽

Author(s):

Azam Karami ◽

Sayyed Ashkan Adibi ◽

Mohammad Hassani

Keyword(s):

Support Vector Machine ◽

Hyperspectral Images ◽

Support Vector

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Using Wavelet Support Vector Machine for Classification of Hyperspectral Images

2009 Second International Conference on Machine Vision ◽

10.1109/icmv.2009.64 ◽

2009 ◽

Author(s):

Mohammad Hossein Banki ◽

Ali Asghar Beheshti Shirazi

Keyword(s):

Support Vector Machine ◽

Hyperspectral Images ◽

Support Vector

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A genetic algorithm based wrapper feature selection method for classification of hyperspectral images using support vector machine

10.1117/12.813256 ◽

2008 ◽

Cited By ~ 36

Author(s):

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Jing Zheng ◽

Xia Li ◽

Fang Wang ◽

Bin Ai ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Hyperspectral Images ◽

Support Vector ◽

Wrapper Feature Selection

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Fractal approach to the choice of the compression ratio of hyperspectral images in the 3D–SPIHT method under the condition of subsequent classification of the decompressed images by the support vector machine

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa ◽

10.21046/2070-7401-2017-14-4-9-23 ◽

2017 ◽

Vol 14 (4) ◽

pp. 9-23

Author(s):

D.V. Uchaev ◽

◽

Dm.V. Uchaev ◽

A.S. Esipov ◽

E.G. Filatova ◽

...

Keyword(s):

Support Vector Machine ◽

Compression Ratio ◽

Hyperspectral Images ◽

Support Vector ◽

Fractal Approach

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Feature weighting algorithms for classification of hyperspectral images using a support vector machine

Applied Optics ◽

10.1364/ao.53.002839 ◽

2014 ◽

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Author(s):

Bin Qi ◽

Chunhui Zhao ◽

Guisheng Yin

Keyword(s):

Support Vector Machine ◽

Feature Weighting ◽

Hyperspectral Images ◽

Support Vector

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Classification of Hyperspectral Images of Small Samples Based on Support Vector Machine and Back Propagation Neural Network

Sensors and Materials ◽

10.18494/sam.2020.2669 ◽

2020 ◽

Vol 32 (1) ◽

pp. 447

Author(s):

Cheng-Biao Fu ◽

An-Hong Tian

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Hyperspectral Images ◽

Small Samples ◽

Support Vector

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Branch and bound based feature elimination for support vector machine based classification of hyperspectral images

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049725 ◽

2011 ◽

Cited By ~ 2

Author(s):

Sathishkumar Samiappan ◽

Saurabh Prasad ◽

Lori M. Bruce ◽

Eric A. Hansen

Keyword(s):

Support Vector Machine ◽

Branch And Bound ◽

Hyperspectral Images ◽

Support Vector

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Development of the method of spectral-spatial classification of hyperspectral images based on local multifractal analysis and the support vector machine

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa ◽

10.21046/2070-7401-2019-16-1-46-57 ◽

2019 ◽

Vol 16 (1) ◽

pp. 46-57

Author(s):

Dm.V. Uchaev ◽

Keyword(s):

Support Vector Machine ◽

Multifractal Analysis ◽

Hyperspectral Images ◽

Support Vector ◽

Spatial Classification

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Classification of hyperspectral images based on two-channel convolutional neural network combined with support vector machine algorithm

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10.1117/1.jrs.14.024514 ◽

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Cited By ~ 1

Author(s):

Wei Zhao ◽

Taoyang Mu ◽

Dan Li

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Convolutional Neural Network ◽

Hyperspectral Images ◽

Support Vector ◽

Support Vector Machine Algorithm

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Classification of Hyperspectral Images using Edge Preserving Filter and Nonlinear Support Vector Machine (SVM)

2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) ◽

10.1109/iciccs48265.2020.9121035 ◽

2020 ◽

Author(s):

Abhilash Perisetty ◽

Sai Teja Bodempudi ◽

Parvez Rahaman Shaik ◽

B L N Phaneendra Kumar

Keyword(s):

Support Vector Machine ◽

Hyperspectral Images ◽

Support Vector ◽

Edge Preserving ◽

Nonlinear Support

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