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近日,中国地质大学计算机学院陈伟涛副教授团队再次在地质环境遥感智能解译研究领域取得重要进展。相关研究成果发表在国际著名期刊《Remote Sensing》(2018年影响因子为4.118)。论文第一作者为陈伟涛副教授,通讯作者为李显巨副教授。
Time-series InSAR technology has become a popular land subsidence monitoring method in recent years, because of its advantages such as high accuracy, wide area, low expenditure, intensive monitoring p...
With the development of economy, global demand for steel has accelerated since 2000, and thus mining activities of iron ore have become intensive accordingly. An ultra-low-grade iron has been extracte...
This paper has collected 7 scenes of L band PALSAR sensor radar data of a mine in FengCheng city, jiangxi province, using the Small-baseline Subset (SBAS) method to invert the surface subsidence of th...
University of Oklahoma (OU) next-generation radar was deployed in Addison, Texas, today as part of a new cutting-edge system designed to save lives and property by providing near-surface, fine-scale, ...
The study is undertaken in the barite mining area of Mangampeta (Lat. 14 ◦01N; Long. 79◦19E), which is located in the Kodur Mandal of Cuddapah District, Andhra Pradesh, India. The impor...

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