UNT
发表于 2025-3-23 13:00:27
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行乞
发表于 2025-3-23 16:16:59
Geological Disaster: An Overview,nsights from recent researches, as well as gaps and challenges in current research and management efforts are also discussed. The futural directions and opportunities presented in this chapter can help to inform stakeholders and researchers on the potential approaches for managing and mitigating the impact of geological disasters.
dissolution
发表于 2025-3-23 21:58:27
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引导
发表于 2025-3-23 23:26:49
Deep Learning Based Remote Sensing Monitoring of Landslide, sensing images is used for this study. The results indicate the framework can successfully identify most landslides in the dataset. And Faster R-CNN equipped with GCN shows a better performance than the original framework.
键琴
发表于 2025-3-24 02:46:02
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镇痛剂
发表于 2025-3-24 08:36:51
Book 2023t researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "ground, airspace, and space-based systems" and different scales of "target-semantic-region". The main contents include:..1) Intelligent interpretation theory a
Duodenitis
发表于 2025-3-24 12:48:57
e, and space-based systems and uses deep learning technology.This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geolog
Hyaluronic-Acid
发表于 2025-3-24 16:22:36
Deep Learning for Long-Term Landslide Change Detection from Optical Remote Sensing Data,chnology and landslide remote sensing identification method, and also help to promote the extensive development of historical landslide cataloging and long-term landslide activity analysis, which will better support the major engineering construction and mountainous land development and management.
鞭子
发表于 2025-3-24 19:53:23
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使人烦燥
发表于 2025-3-25 02:45:54
Weitao Chen,Cheng Zhong,Lizhe WangCombines both remote sensing and artificial intelligent from an interdisciplinary standpoint.Collects multi-source data from ground, airspace, and space-based systems and uses deep learning technology