丁庆论文成果 Unraveling Spatial Associations of Surface Subsidence in Typical Oil Production Areas of Songyuan City by Integrating Time-Series InSAR and Deep Learning

!tvu.isPriviewMode()true showstate0
丁庆
!tvu.isPriviewMode()true showstate0
( 讲师 ) 赞
!tvu.isPriviewMode()true showstate0

讲师

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果

Unraveling Spatial Associations of Surface Subsidence in Typical Oil Production Areas of Songyuan City by Integrating Time-Series InSAR and Deep Learning

点击次数：
发表刊物：Remote Sensing
论文类型：期刊论文
是否译文：否
收录刊物：SCI

下一条： Toward Automated and Refined Rock Mass Quality Evaluation: An AR-RMR System Driven by AI and Multi-source Heterogeneous Data