A New Methodology for Rice Area Monitoring With COSMO-SkyMed HH-VV PingPong Mode SAR Data.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2019)

引用 9|浏览10
暂无评分
摘要
In this paper, a novel approach is proposed to exploit a time series of COSMO-SkyMed (CSK) HH-VV SAR images to map rice fields and to estimate the sowing dates. The approach relies on multi-polarization features, i.e., the squared modulus of the HH and VV channels and the polarization ratio, extracted from CSK SAR scenes. The key step consists of extracting a rice training signature related to the...
更多
查看译文
关键词
Time series analysis,Synthetic aperture radar,Training,Feature extraction,Backscatter,Monitoring,Agriculture
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