Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2894350 ◽

2019 ◽

Vol 16 (8) ◽

pp. 1269-1273 ◽

Author(s):

Linyi Li ◽

Yun Chen ◽

Tingbao Xu ◽

Kaifang Shi ◽

Chang Huang ◽

...

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Super Resolution ◽

General Regression Neural Network ◽

Support Vector ◽

Urban Floods ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

General Regression

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Quantitative structure-toxicity relationships (QSTRs): A comparative study of various non linear methods. General regression neural network, radial basis function neural network and support vector machine in predicting toxicity of nitro- and cyano- aromatics toTetrahymena pyriformis§

SAR and QSAR in Environmental Research ◽

10.1080/10659360600562079 ◽

2006 ◽

Vol 17 (1) ◽

pp. 75-91 ◽

Author(s):

A. Panaye ◽

B. T. Fan ◽

J. P. Doucet ◽

X. J. Yao ◽

R. S. Zhang ◽

...

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Comparative Study ◽

Radial Basis Function ◽

Basis Function ◽

General Regression Neural Network ◽

Support Vector ◽

Quantitative Structure ◽

General Regression

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Forecasting model of residential load based on general regression neural network and PSO-Bayes least squares support vector machine

Journal of Central South University of Technology ◽

10.1007/s11771-011-0821-4 ◽

2011 ◽

Vol 18 (4) ◽

pp. 1184-1192 ◽

Author(s):

Yong-xiu He ◽

Hai-ying He ◽

Yue-jin Wang ◽

Tao Luo

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Least Squares ◽

General Regression Neural Network ◽

Support Vector ◽

Forecasting Model ◽

General Regression

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A Hybrid Approach to Super-Resolution Mapping of Remotely Sensed Multi-spectral Satellite Images Using Genetic Algorithm and Hopfield Neural Network

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-018-0905-9 ◽

2018 ◽

Vol 47 (4) ◽

pp. 685-692 ◽

Author(s):

C. Heltin Genitha ◽

K. Vani

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Satellite Images ◽

Hybrid Approach ◽

Super Resolution ◽

Hopfield Neural Network ◽

Remotely Sensed ◽

Resolution Mapping ◽

Super Resolution Mapping

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Super-resolution mapping of hyperspectral data using Artificial Neural Network and wavelet

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2020.100374 ◽

2020 ◽

Vol 20 ◽

pp. 100374

Author(s):

Ankur Dixit ◽

Shefali Agarwal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Super Resolution ◽

Hyperspectral Data ◽

Resolution Mapping ◽

Artificial Neural ◽

Super Resolution Mapping

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Super-resolution mapping of multiple-scale land cover features using a Hopfield neural network

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978302 ◽

2002 ◽

Author(s):

A.J. Tatem ◽

H.G. Lewis ◽

P.M. Atkinson ◽

M.S. Nixon

Keyword(s):

Neural Network ◽

Super Resolution ◽

Multiple Scale ◽

Hopfield Neural Network ◽

Resolution Mapping ◽

Super Resolution Mapping

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Estimating location of land cover patch in super-resolution mapping by hopfield neural network

2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) ◽

10.1109/iscaie.2015.7298325 ◽

2015 ◽

Author(s):

Siti Khadijah Mohd Zaki ◽

Anuar M. Muad

Keyword(s):

Neural Network ◽

Super Resolution ◽

Hopfield Neural Network ◽

Resolution Mapping ◽

Super Resolution Mapping

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Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978303 ◽

2002 ◽

Author(s):

A.J. Tatem ◽

H.G. Lewis ◽

P.M. Atkinson ◽

M.S. Nixon

Keyword(s):

Neural Network ◽

Super Resolution ◽

Hopfield Neural Network ◽

Urban Scenes ◽

Resolution Mapping ◽

Super Resolution Mapping

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A Super-Resolution Mapping Using a Convolutional Neural Network

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898537 ◽

2019 ◽

Author(s):

Teerasit Kasetkasem

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Super Resolution ◽

Resolution Mapping ◽

Super Resolution Mapping

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Land Cover Super-resolution Mapping using Hopfield Neural Network for Simulated SPOT Image

Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography ◽

10.7848/ksgpc.2012.30.6-2.653 ◽

2012 ◽

Vol 30 (6_2) ◽

pp. 653-663 ◽

Author(s):

Quang Minh Nguyen

Keyword(s):

Neural Network ◽

Super Resolution ◽

Hopfield Neural Network ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

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Integrating a scale-invariant feature of fractal geometry into the Hopfield neural network for super-resolution mapping

International Journal of Remote Sensing ◽

10.1080/01431161.2019.1624865 ◽

2019 ◽

pp. 1-22 ◽

Author(s):

Yuan-Fong Su

Keyword(s):

Neural Network ◽

Fractal Geometry ◽

Super Resolution ◽

Hopfield Neural Network ◽

Scale Invariant ◽

Invariant Feature ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

Scale Invariant Feature

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