Seasonal Multi-temporal Pixel Based Crop Types and Land Cover Classification for Satellite Images using Convolutional Neural Networks

Nowadays, Satellite images have become a major source of data for many aspects of development. Land and crops classification using satellite images is a recent important subject. From the other side, Deep Convolutional Neural Networks (DCNNs) is a powerful technique for understanding images. This pa...

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Bibliographic Details

Published in:	2018 13th International Conference on Computer Engineering and Systems (ICCES) pp. 21 - 26
Main Authors:	Laban, Noureldin, Abdellatif, Bassam, Ebeid, Hala M., Shedeed, Howida A., Tolba, Mohamed F.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2018
Subjects:	Agriculture Artificial Intelligence Convolution Convolutional neural networks Crop Classification Deep learning Egypt Feature extraction Remote Sensing (RS) Satellite Images Satellites Sentinel-2 TensorFlow Training
Online Access:	Get full text
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