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NDVI AND CUSTOMIZED CNN FOR LAND COVER SATELLITE IMAGE CLASSIFICATION
2021
Journal:  
International Journal of Advanced Research
Author:  
DOI:  
10.21474/IJAR01/13001
Abstract:

The efficient and the simplest deep learning algorithm of image classification is Convolutional Neural Network (CNN). In this paper we developed a customized CNN architecture for the classification of multi-spectral images from SAT-4 datasets. The sets Near-Infrared (NIR) band information as it can sense vegetation health. The domain knowledge of Normalized Difference Vegetation Index (NDVI) motivated us to utilize Red and NIR spectral bands together in the second level of experimentation for the classification.

Keywords:

null
2021
Journal:  
International Journal of Advanced Research
Author:  
DOI:  
10.21474/IJAR01/13001
0
2021
Journal:  
International Journal of Advanced Research
Author:  
DOI:  
10.21474/IJAR01/13001
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International Journal of Advanced Research

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 10.413
Cite : 697
Details
International Journal of Advanced Research