Deep-Learning-Based Method for the Identification of Typical Crops Using Dual-Polarimetric Synthetic Aperture Radar and High-Resolution Optical Images

Deep-Learning-Based Method for the Identification of Typical Crops Using Dual-Polarimetric Synthetic Aperture Radar and High-Resolution Optical Images

Timely monitoring of distribution and growth state of crops is crucial for agricultural management. Remote sensing (RS) techniques provide an effective tool to monitor crops. This study proposes a novel approach for the identification of typical crops, including rapeseed and wheat, using multisource...

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Bibliographic Details
Main Authors: Xiaoshuang Ma, Le Li, Yinglei Wu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
crop classification
multi-source remote sensing
polarimetric synthetic aperture radar
deep learning
Online Access:https://www.mdpi.com/2072-4292/17/1/148

Internet

https://www.mdpi.com/2072-4292/17/1/148

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