Satellite image classification by narrowband Gabor filters and artificial neural networks

2004 ◽  
Author(s):  
Nezamoddin Nezamoddini-Kachouie ◽  
Javad Alirezaie
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Image Classification ◽  
Satellite Image ◽  
Gabor Filters ◽  
Satellite Image Classification ◽  
Artificial Neural

scholarly journals Artificial Neural Networks for Satellite Image Classification of Shoreline Extraction for Land and Water Classes of the North West Coast of Peninsular Malaysia

2018 ◽  
Vol 24 (2) ◽  
pp. 1382-1387 ◽  
Author(s):  
Syaifulnizam Abd Manaf ◽  
Norwati Mustapha ◽  
Md. Nasir Sulaiman ◽  
Nor Azura Husin ◽  
Mohd Radzi Abdul Hamid
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Image Classification ◽  
West Coast ◽  
Satellite Image ◽  
Peninsular Malaysia ◽  
North West ◽  
The North ◽  
Artificial Neural

Investigating of Correlation between MODIS Satellite Data and Ground Data Related to Aerosols and Modeling Aerosols Using Neural Networks over Shiraz

2012 ◽  
Vol 260-261 ◽  
pp. 926-929
Author(s):  
Ali Reza Dehghani ◽  
Ali Akbar Safavi ◽  
Mohammad Jafar Nazemossadat ◽  
Seyed Mohammad Hessam Mohammadi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Satellite Data ◽  
Satellite Image ◽  
Frequency Bands ◽  
Input And Output ◽  
Satellite Information ◽  
Proposed Model ◽  
Artificial Neural ◽  
Band Number

This paper presents an investigation of satellite data and ground data about aerosols and then modelsthe mentioned data over Shiraz using artificial neural networks. MODIS satellite data are available on 36 various frequency bands. In this study, a good correlation between ground data and the 10 first satellite image bands is being shown. Specially, the best correlation was found in band number 8. Therefore, using neural networks and ground data along with satellite information, a model of aerosols is constructed. In the mentioned model, satellite data of band 8 and ground data are used as network input and output, respectively. The results show the effectiveness of the proposed model.

scholarly journals Image Classification Using Artificial Neural Networks

2020 ◽  
Author(s):  
Dian Ade Kurnia
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Image Classification ◽  
Activation Function ◽  
Process Information ◽  
Artificial Neuron ◽  
Artificial Neural

Artificial neural networks use the same analogy, and process information using artificial neurons.Information is transferred from one artificial neuron to another, which finally leads to an activation function, which acts like a brain and makes a decision

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