LANDSAT-TM image classification using principal components analysis and neural networks

Principal Components ◽

Landsat Tm ◽

Landsat Tm Image ◽

Tm Image ◽

Comparison of back propagation and binary diamond neural networks in the classification of a Landsat TM image

Computers & Geosciences ◽

10.1016/s0098-3004(96)00037-4 ◽

1996 ◽

Vol 22 (9) ◽

pp. 995-1001 ◽

Cited By ~ 4

Author(s):

Shane D. Murnion

Keyword(s):

Neural Networks ◽

Back Propagation ◽

Landsat Tm ◽

Landsat Tm Image ◽

Tm Image

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence ◽

Multispectral Image Classification Using Multilayer Perceptron and Principal Components Analysis

10.1109/brics-cci-cbic.2013.98 ◽

2013 ◽

Cited By ~ 2

Author(s):

Wanessa da Silva ◽

Matheus Habermann ◽

Elcio Hideiti Shiguemori ◽

Leidiane do Livramento Andrade ◽

Ruy Morgado de Castro

Keyword(s):

Image Classification ◽

Principal Components ◽

Multilayer Perceptron ◽

Multispectral Image ◽

Landsat TM principal components analysis of Oman

International Journal of Remote Sensing ◽

10.1080/01431160119575 ◽

2001 ◽

Vol 22 (12) ◽

pp. 2241-2242

Author(s):

R. Harris

Keyword(s):

Principal Components ◽

Landsat Tm ◽

Identification of Neural Networks That Contribute to Motion Sickness through Principal Components Analysis of Fos Labeling Induced by Galvanic Vestibular Stimulation

PLoS ONE ◽

10.1371/journal.pone.0086730 ◽

2014 ◽

Vol 9 (1) ◽

pp. e86730 ◽

Cited By ~ 28

Author(s):

Carey D. Balaban ◽

Sarah W. Ogburn ◽

Susan G. Warshafsky ◽

Abdul Ahmed ◽

Bill J. Yates

Keyword(s):

Neural Networks ◽

Motion Sickness ◽

Principal Components ◽

Vestibular Stimulation ◽

Galvanic Vestibular Stimulation ◽

Terrain classification in SAR images using principal components analysis and neural networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170746 ◽

1991 ◽

Cited By ~ 3

Author(s):

S. Ghaloum ◽

M.R. Azimi-Sadjadi

Keyword(s):

Neural Networks ◽

Principal Components ◽

Terrain Classification ◽

Sar Images ◽

REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

Química Nova ◽

10.5935/0100-4042.20160024 ◽

2016 ◽

Author(s):

Saulo Rodrigues e Silva ◽

Fernando Schimidt

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dissolved Oxygen ◽

Principal Components ◽

Analysis Data ◽

Components Analysis ◽

Artificial Neural ◽

Input Variables

Speech recognition using Principal Components Analysis and Neural Networks

2016 IEEE 8th International Conference on Intelligent Systems (IS) ◽

10.1109/is.2016.7737405 ◽

2016 ◽

Cited By ~ 3

Author(s):

Shaham Shabani ◽

Yaser Norouzi

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Principal Components ◽

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring

10.5220/0004152304830492 ◽

2012 ◽

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Process Monitoring ◽

Principal Components ◽

Basis Function ◽

Analysis Model ◽

Radial Basis ◽

Neural networks for seismic principal components analysis

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.739164 ◽

1999 ◽

Vol 37 (1) ◽

pp. 297-311 ◽

Cited By ~ 13

Author(s):

Kou-Yuan Huang

Keyword(s):

Neural Networks ◽

Principal Components ◽

Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection

2008 IEEE 16th Signal Processing, Communication and Applications Conference ◽

10.1109/siu.2008.4632625 ◽

2008 ◽

Author(s):

Erinc Karatoprak ◽

Tayfun Senguler ◽

Serhat Seker

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fault Detection ◽

Principal Components ◽

Probabilistic Neural Networks ◽