A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery

A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery

Accurate and timely mapping of crop types and having reliable information about the cultivation pattern/area play a key role in various applications, including food security and sustainable agriculture management. Remote sensing (RS) has extensively been employed for crop type classification. Howeve...

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Bibliographic Details
Main Authors: Seyd Teymoor Seydi, Meisam Amani, Arsalan Ghorbanian
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
crop mapping
deep learning
convolutional neural networks (CNN)
attention modules (AM)
dual attention CNN
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/14/3/498

Internet

https://www.mdpi.com/2072-4292/14/3/498

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