Intelligent Interpretation for Geological Disasters: From Space-Air-Ground Integration Perspective
暫譯: 地質災害的智能解讀：從空天一體化的視角

Chen, Weitao, Zhong, Cheng, Qin, Xuwen

Intelligent Interpretation for Geological Disasters: From Space-Air-Ground Integration Perspective
  • 出版商: Springer
  • 出版日期: 2024-11-25
  • 售價: $6,100
  • 貴賓價: 9.5 折 $5,795
  • 語言: 英文
  • 頁數: 233
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819958245
  • ISBN-13: 9789819958245

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 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 and methods of geological disasters,

2) Intelligent analysis of landslide based on long-term ground monitoring data,

3) Deep learning-based remote sensing detection of landslide,

4) Intelligent analysis of landslide evolution based on optical satellite remote sensing data,

5) Intelligent assessment methods of landslide susceptibility,

6) Intelligent recognition of ground figure based on airspace-based remote sensing data,

The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.

商品描述(中文翻譯)

本書全面利用新一代人工智慧及遙感科學技術，系統性地進行地質災害的高精度識別、監測、分析及評估研究，採用「地面、空域及太空系統」的不同技術及「目標-語義-區域」的不同尺度。主要內容包括：

1) 地質災害的智能解釋理論與方法，
2) 基於長期地面監測數據的滑坡智能分析，
3) 基於深度學習的滑坡遙感檢測，
4) 基於光學衛星遙感數據的滑坡演變智能分析，
5) 滑坡易發性智能評估方法，
6) 基於空域遙感數據的地面圖形智能識別。

本書適合研究地質災害、自然災害、遙感及人工智慧的研究生、科學及技術人員閱讀。

作者簡介

Dr. Weitao Chen (Member, IEEE) is a full professor at the School of Computer Science, China Univ. of Geosciences (CUG). He received M.E from in 2006 and Doctor from China Univ. of Geosciences in 2012. He has published more than 50 peer-reviewed technical papers in international journals. His main research interests include machine learning and remote sensing of geo-environment. Prof. Chen is a member of IEEE and served as editor board and reviewers of several international journals. He was awarded the land and resources science and Technology Progress Award (second prize in 2019), and the science and technology Award (second prize) of China command and control society (second prize in 2020). He was awarded "cradle plan" talent project of China University of Geosciences and the "Chenguang plan" talent project of Youth Science and technology in Wuhan, Hubei Province.

Dr. Cheng Zhong is an associate professor at the Badong National Observation and Research Station of Geohazards, China University of Geosciences (CUG). He received B.E. in geographical information system from Wuhan University in 2004 and Ph.D. in photogrammetry and remote sensing from Wuhan University in 2009. He has more than 10 years' experiences in remote sensing of geohazards with machine learning techniques. Funded by National Science Fund of China, Science and Technology Department of Wuhan City, he has published more than 30 peer-reviewed papers in known journals. He is the member of Geological Society of China, Seismological Society of Hubei, etc., and severed as a reviewer for tens of prestigious journals, awards, and funds.

Dr. Xuwen Qin is the researcher in China Geological Survey that has been awarded as "Li Siguang Scholar". He has been researching on the theory, technical equipment, and applications of remote sensing and physical detection in geological survey and has made breakthroughs in many key technologies. He also acquired many high-level achievements in the realm of terrestrial and deep-ocean geological hazards. Related works was collected in China Top 10 Science and Technology Development, selected by the members of the Chinese Academy of Sciences and the Chinese Academy of Engineering. In addition, he has acquired four 1st orizes and one 2nd prize at provincial level, published 16 monographs and 43 SCI academic papers, and has been awarded 12 international/national invention patents.

Dr. Lizhe Wang is a full professor at the School of Computer Science, China University of Geosciences (CUG). He received the B.E. and M.E. degrees from Tsinghua University, Beijing, China, and the Doctor of Eng. degree from University Karlsruhe (Magna Cum Laude), Germany. He is a ChuTian chair professor at the School of Computer Science, China University of Geosciences, Wuhan, China. His research interests include HPC, e-Science, and remote sensing image processing. Prof. Wang is a fellow of IET, IEEE, SPIE, and British Computer Society. He was awardedthe Land and Resources Science and Technology Progress Award (second prize in 2019) and the Science and Technology Award (second prize) of China command and control society (second prize in 2020). He was also awarded National Science Fund for Distinguished Young Scholars in 2019 and European Academy of Sciences in 2022.

作者簡介(中文翻譯)

陳偉韜博士（IEEE 會員）是中國地質大學（CUG）計算機科學學院的全職教授。他於2006年獲得碩士學位，並於2012年獲得中國地質大學的博士學位。他在國際期刊上發表了50多篇經過同行評審的技術論文。他的主要研究興趣包括機器學習和地理環境的遙感。陳教授是IEEE的會員，並擔任多個國際期刊的編輯委員和審稿人。他曾獲得2019年土地和資源科學技術進步獎（第二名）以及2020年中國指揮與控制學會的科技獎（第二名）。他還獲得了中國地質大學的「搖籃計畫」人才項目和湖北省青年科技的「晨光計畫」人才項目。

鍾成博士是中國地質大學（CUG）地質災害國家觀測與研究站的副教授。他於2004年在武漢大學獲得地理信息系統的學士學位，並於2009年在武漢大學獲得攝影測量與遙感的博士學位。他在利用機器學習技術進行地質災害遙感方面擁有超過10年的經驗。在中國國家自然科學基金和武漢市科技局的資助下，他在知名期刊上發表了30多篇經過同行評審的論文。他是中國地質學會、湖北省地震學會等的成員，並擔任多個知名期刊的審稿人。

秦旭文博士是中國地質調查局的研究員，曾獲得「李四光學者」稱號。他一直在地質調查中研究遙感和物理探測的理論、技術設備及應用，並在多項關鍵技術上取得突破。他在陸地和深海地質災害領域也取得了許多高水平的成就。相關工作被收錄於中國十大科技發展中，並由中國科學院和中國工程院的成員選出。此外，他在省級層面獲得四項一等獎和一項二等獎，發表了16部專著和43篇SCI學術論文，並獲得12項國際/國內發明專利。

王立哲博士是中國地質大學（CUG）計算機科學學院的全職教授。他在中國北京的清華大學獲得了學士和碩士學位，並在德國卡爾斯魯厄大學獲得工程博士學位（優等）。他是中國地質大學計算機科學學院的楚天講座教授。他的研究興趣包括高性能計算（HPC）、電子科學和遙感影像處理。王教授是IET、IEEE、SPIE和英國計算機學會的會士。他曾獲得2019年土地和資源科學技術進步獎（第二名）和2020年中國指揮與控制學會的科技獎（第二名）。他還於2019年獲得國家自然科學基金優秀青年學者獎，並於2022年獲得歐洲科學院的獎項。

類似商品