An Adaptive Feature Fusion Network with Superpixel Optimization for Crop Classification Using Sentinel-2 Imagery

An Adaptive Feature Fusion Network with Superpixel Optimization for Crop Classification Using Sentinel-2 Imagery

Crop-type mapping is the foundation of grain security and digital agricultural management. Accuracy, efficiency and large-scale scene consistency are required to perform crop classification from remote sensing images. Many current remote-sensing crop extraction methods based on deep learning cannot...

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Bibliographic Details
Main Authors: Xiangyu Tian, Yongqing Bai, Guoqing Li, Xuan Yang, Jianxi Huang, Zhengchao Chen
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
crop mapping
deep learning
feature fusion
multitask learning
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/15/8/1990

Internet

https://www.mdpi.com/2072-4292/15/8/1990

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