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Online orders placed from 19/12 onward will not arrive in time for Christmas.
A01=Fang He
A01=Haojie Hu
A01=Shuli Cheng
A01=Yao Ding
A01=Yijun Zhang
A01=Zhili Zhang
Age Group_Uncategorized
Age Group_Uncategorized
Author_Fang He
Author_Haojie Hu
Author_Shuli Cheng
Author_Yao Ding
Author_Yijun Zhang
Author_Zhili Zhang
automatic-update
Category1=Non-Fiction
Category=PBWH
Category=RGW
Category=TJF
Category=UYQM
Category=UYT
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image classification to improve the classification accuracy. This book has promoted the application of graph neural network in hyperspectral image classification, providing reference for remote sensing image processing. It will be a useful reference for researchers in remote sensing image processing and image neural network design.

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Current price €126.34
Original price €132.99
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A01=Fang HeA01=Haojie HuA01=Shuli ChengA01=Yao DingA01=Yijun ZhangA01=Zhili ZhangAge Group_UncategorizedAuthor_Fang HeAuthor_Haojie HuAuthor_Shuli ChengAuthor_Yao DingAuthor_Yijun ZhangAuthor_Zhili Zhangautomatic-updateCategory1=Non-FictionCategory=PBWHCategory=RGWCategory=TJFCategory=UYQMCategory=UYTCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 24 Dec 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 24 Dec 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819780082

About Fang HeHaojie HuShuli ChengYao DingYijun ZhangZhili Zhang

Dr. Yao Ding received the M.S. and Ph.D. degree from the Key Laboratory of Optical Engineering Xi'an Research Institute of High Technology Xian China in 2013 and 2022 respectively. His research interests include neural network computer vision image processing and hyperspectral image clustering. He has published several papers in IEEE Trans. on Geoscience and Remote Sensing (TGRS) Information Sciences (INS) Expert Systems with Applications (ESWA) Defence Technology (DT) IEEE Geoscience and Remote Sensing Letters (GRSL) Neurocomputing etc. Furthermore he has published three monographs and six patents have been applied. He has received excellent doctoral dissertations from the China Simulation Society and the China Ordnance Industry Society in 2023. He also has received HIGHLY CITED AWARDS from Defense Technology (DT) journal. At present he has Ten highly cited papers of ESI. In addition he is also the reviewer of TGRS TNNLS PR JAG KBS etc. He has also served as a Guest Editor of the Forecasting. Dr. Zhili Zhang received the B.S. M.S. and Ph.D. degrees in 1988 1991 and 2001 respectively all from Xi'an Research Institute of High Technology Xi'an China. He is currently a professor at Xi'an Research Institute of High Technology China. His research interests include inertial navigation systems theory system simulation image processing and Position and navigation.  Dr. Zhang has achieved fruitful results in the field he is studying and several Prizes have been awarded including: 1) One First Class Prize and Two Second Class Prizes of The State Science and Technology Progress Award of China; 2) One Second Class Prize of The State Technology Invention Award of China; 3) Twelve Provincial/Ministerial level awards. In addition he has published six monographs four briefs and over a hundred SCI and EI research papers including four hot papers and ten highly cited papers of ESI. Furthermore he has been authorized over fifty invention patents. Dr. Haojie Hu received his M.S. and Ph.D. degrees from Xi'an Research Institute of High Technology Xian China in 2016 and 2019 respectively. He is currently a lecturer at Xi'an Research Institute of High Technology. Dr. Hu focuses on the research of machine learning and hyperspectral image processing. Since 2016 Dr. Hu has published 16 peer-reviewed technical papers in international journals and conferences. Dr. Fang He received the B.S. M.S. and Ph.D. degrees from the Xi'an Research Institute of High Technology Xi'an China in 2014 2016 and 2021 respectively. Now she is a lecturer at the Xi'an Research Institute of High Technology. Dr. He focuses on the research of machine learning and image processing. Her recent research interests include: hyperspectral image classification and anomaly detection big data processing. Dr. He has published 19 technical papers in international journals and conferences. Among them 2 papers were published on JCR Q1 journals with IF 10.4 and 8.2 respectively and 1 paper is published on CCF A journal with IF 8.9. Dr. He also got school excellent doctoral dissertation award in 2022. Dr. Shuli Cheng received his B.E. and Ph.D. degrees in the School of Computer Science and Technology from Xinjiang University Urumqi China in 2016 and 2021 respectively. He was a Post-Doctoral Researcher with the Mathematics and System Science Xinjiang University Urumqi China from 2021 to 2023.Since Nov. 2022 Dr. Cheng has been in the School of Computer Science and Technology Xinjiang University as an Associate Professor. He has published more than 30 papers in leading and key journals and conferences such as IEEE TCSVT IEEE TGRS ESWA ASOC KBS and PR. He serves as an PC Member or a reviewer for various international conferences and journals such as AAAI ICCV IEEE TMM and IEEE TCSVT. Dr. Yijun Zhang received his B.E. degree in Simulation Engineering and M. E. degree in Operations Research from the People's Liberation Army University of Science and Technology in 2006 and 2010 respectively and the Ph.D. degree in Computational Science and Technology from the Xi'an Research Institute of High Technology in 2023. Since July 2023 Dr. Zhang has been working as an Associate Professor at the Experimental Training Base of the National University of Defense Technology in Xi'an China.

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