The effect of feature selection using genetic algorithms on spectral-spatial classification of hyperspectral imagery

Spectral-spatial classification of hyperspectral imagery based on deep convolutional network

2016 International Conference on Orange Technologies (ICOT) ◽

10.1109/icot.2016.8278975 ◽

2016 ◽

Author(s):

Haokui Zhang ◽

Ying Li

Keyword(s):

Hyperspectral Imagery ◽

Convolutional Network ◽

Spatial Classification ◽

Deep Convolutional Network

A multi-scale 3D convolution neural network for spectral-spatial classification of hyperspectral imagery

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/502/1/012015 ◽

2020 ◽

Vol 502 ◽

pp. 012015

Author(s):

Wenchao Qi ◽

Xia Zhang

Keyword(s):

Neural Network ◽

Hyperspectral Imagery ◽

Convolution Neural Network ◽

Spatial Classification ◽

Multi Scale

Spectral-Spatial Classification of Hyperspectral Imagery with Convolutional Neural Network

2020 Innovations in Intelligent Systems and Applications Conference (ASYU) ◽

10.1109/asyu50717.2020.9259864 ◽

2020 ◽

Author(s):

Sinem Aybuke SAKACI ◽

Oguzhan URHAN

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Hyperspectral Imagery ◽

Spectral–Spatial Classification of Hyperspectral Imagery Based on Moment Invariants

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

10.1109/jstars.2015.2446611 ◽

2015 ◽

Vol 8 (6) ◽

pp. 2457-2463 ◽

Cited By ~ 14

Author(s):

Brajesh Kumar ◽

Onkar Dikshit

Keyword(s):

Hyperspectral Imagery ◽

Moment Invariants ◽

Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-540-74260-9_81 ◽

2007 ◽

pp. 911-922 ◽

Author(s):

Rolando R. Hernández-Cisneros ◽

Hugo Terashima-Marín ◽

Santiago E. Conant-Pablos

Keyword(s):

Genetic Algorithms ◽

Feature Selection ◽

Sequential Search ◽

Class Separability

A rough-GA based optimal feature selection in attribute profiles for classification of hyperspectral imagery

Soft Computing ◽

10.1007/s00500-020-04697-y ◽

2020 ◽

Vol 24 (16) ◽

pp. 12569-12585 ◽

Author(s):

Arundhati Das ◽

Swarnajyoti Patra

Keyword(s):

Feature Selection ◽

Hyperspectral Imagery ◽

Optimal Feature Selection ◽

Optimal Feature

Locality-preserving discriminant analysis and Gaussian mixture models for spectral-spatial classification of hyperspectral imagery

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS) ◽

10.1109/whispers.2012.6874299 ◽

2012 ◽

Author(s):

Zhen Ye ◽

Saurabh Prasad ◽

Wei Li ◽

James E. Fowler ◽

Mingyi He

Keyword(s):

Discriminant Analysis ◽

Mixture Models ◽

Hyperspectral Imagery ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Spatial Classification ◽

Locality Preserving

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

Remote Sensing ◽

10.3390/rs9010067 ◽

2017 ◽

Vol 9 (1) ◽

pp. 67 ◽

Cited By ~ 246

Author(s):

Ying Li ◽

Haokui Zhang ◽

Qiang Shen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Hyperspectral Imagery ◽

An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2015.2414401 ◽

2015 ◽

Vol 9 (6) ◽

pp. 1074-1088 ◽

Cited By ~ 19

Author(s):

Shujin Sun ◽

Ping Zhong ◽

Huaitie Xiao ◽

Runsheng Wang

Keyword(s):

Active Learning ◽

Hyperspectral Imagery ◽

Spatial Classification ◽

Learning Framework ◽

Model Based

Feature Selection via Genetic Algorithms in the Classification of Anti-Snake Venom Medicinal Plants

Learning and Nonlinear Models ◽

10.21528/lnlm-vol8-no3-art1 ◽

2010 ◽

Vol 8 (3) ◽

pp. 125-134

Author(s):

Lariza L. de Oliveira ◽

Gabriela F. Persinoti ◽

Silvana Giuliatti ◽

Renato Tinós

Keyword(s):

Genetic Algorithms ◽

Feature Selection ◽

Medicinal Plants ◽

Snake Venom