当前位置:
X-MOL 学术
›
GISci. Remote Sens.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A new transferable deep learning approach for crop mapping
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-08-27 , DOI: 10.1080/15481603.2024.2395700 Hongyan Che 1, 2, 3 , Yaozhong Pan 1, 4 , Xingsheng Xia 1, 2 , Xiufang Zhu 1, 4 , Le Li 5 , Yongsheng Huang 1, 2 , Xuechang Zheng 4 , Lingang Wang 1, 2
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-08-27 , DOI: 10.1080/15481603.2024.2395700 Hongyan Che 1, 2, 3 , Yaozhong Pan 1, 4 , Xingsheng Xia 1, 2 , Xiufang Zhu 1, 4 , Le Li 5 , Yongsheng Huang 1, 2 , Xuechang Zheng 4 , Lingang Wang 1, 2
Affiliation
Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of...
中文翻译:
一种用于作物绘图的新的可迁移深度学习方法
准确的农作物测绘为政府决策和农业管理提供重要信息。深度学习的最新进展显着增强了......
更新日期:2024-08-27
中文翻译:
一种用于作物绘图的新的可迁移深度学习方法
准确的农作物测绘为政府决策和农业管理提供重要信息。深度学习的最新进展显着增强了......