AI Opportunities and Challenges for Crop Type Mapping Using Sentinel-2 and Drone Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS(2021)

引用 1|浏览2
暂无评分
摘要
Crop type mapping represents one of the most challenging problems in remote sensing. Spatial, spectral, and temporal information are required in order to obtain a unambiguous distinction among the types of crop. This paper presents a multi-sensor approach, where labelled high-resolution images from drones, limited to small areas, are used to enhance the classification ability of machine learning m...
更多
查看译文
关键词
Satellites,Machine learning algorithms,Image analysis,Transfer learning,Time series analysis,Crops,Remote sensing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要