Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN

Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN

Over the years, remote sensing technology has become an important means to obtain accurate agricultural production information, such as crop type distribution, due to its advantages of large coverage and a short observation period. Nowadays, the cooperative use of multi-source remote sensing imagery...

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Bibliographic Details
Main Authors: Kaixin Zhang, Da Yuan, Huijin Yang, Jianhui Zhao, Ning Li
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
convolutional neural network
synthetic aperture radar (SAR)
multispectral imagery
feature fusion
crop classification
polarimetric decomposition
Online Access:https://www.mdpi.com/2072-4292/15/11/2727

Internet

https://www.mdpi.com/2072-4292/15/11/2727

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