用于作物制图的新型可迁移深度学习方法

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL GIScience & Remote Sensing Pub Date : 2024-08-27 DOI:10.1080/15481603.2024.2395700
Hongyan Che, Yaozhong Pan, Xingsheng Xia, Xiufang Zhu, Le Li, Yongsheng Huang, Xuechang Zheng, Lingang Wang
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引用次数: 0

摘要

精确的作物测绘为政府决策和农业管理提供了重要信息。最近在深度学习方面取得的进展大大增强了...
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A new transferable deep learning approach for crop mapping
Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of...
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来源期刊
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍: GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
期刊最新文献
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