Remotely Sensed Big Data: Evolution in Model Development for Information Extraction
Proceedings of the IEEE(2019)
摘要
Since the 1960s, remote sensing (as an innovative, comprehensive, and interdisciplinary academic area) has been adopted in a wide range of disciplines related to Earth observation, including hydrology, ecology, oceanography, glaciology, geology, military, intelligence, business, economy, and planning
[1]
–
[3]
. The constant development of the remote sensing image acquisition technology now allows for the collection of a wide variety of images with different characteristics and resolutions, obtained by remote sensing instruments mounted on spacecraft or aircraft platforms. These images record some type of signal or energy measured from the Earth’s surface, which depends on the type of sensor used.
更多查看译文
关键词
Remote sensing,Big Data,Information retrieval,Information analysis,Data models,Mathematical model,Atmospheric modeling,Feature extraction,Deep learning,Earth Observing System
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络