Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis

Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis

This study addresses the challenge of accurate crop detection using satellite data, focusing on the application of Long Short-Term Memory (LSTM) networks. The research employs a “spatial generalization” approach, where a model trained on one geographic area is applied to another area with similar ve...

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Bibliographic Details
Main Authors: Artur Gafurov, Svetlana Mukharamova, Anatoly Saveliev, Oleg Yermolaev
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Agriculture
Subjects:
remote sensing
MODIS
classification
crops
random forest
multilayer perceptron
Online Access:https://www.mdpi.com/2077-0472/13/9/1672

Internet

https://www.mdpi.com/2077-0472/13/9/1672

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