16Jun 2021
NDVI AND CUSTOMIZED CNN FOR LAND COVER SATELLITE IMAGE CLASSIFICATION
- Research Scholar, Department of Computer Engineering. Atmiya University, Rajkot.
- Assistant Professor, Department Of Computer Engineering, Atmiya University, Rajkot.
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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.
[Amee Daiya and Dharmesh Bhalodiya (2021); NDVI AND CUSTOMIZED CNN FOR LAND COVER SATELLITE IMAGE CLASSIFICATION Int. J. of Adv. Res. 9 (Jun). 205-209] (ISSN 2320-5407). www.journalijar.com
Amee Daiya
Research Scholar, Department of Computer Engineering. Atmiya University,Rajkot.
Research Scholar, Department of Computer Engineering. Atmiya University,Rajkot.
