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Sub-forums
Sub-forum: Remote Sensing Large Model and Intelligent Remote Sensing Application
Sponsor: China Society of Surveying and Mapping
Organizers:
Photogrammetry and Remote Sensing Committee of China Society of Surveying and Mapping, Engineering Technology Innovation Center for Collaborative Application of Natural Resources Data in Guangdong-Hong Kong-Macao Greater Bay Area, Ministry of Natural Resources, School of Remote Sensing and Information Engineering, Wuhan University, Guangdong Southern Digital Technology Co., Ltd
When: October 17
Venue: Zhengzhou International Convention and Exhibition Center
List of experts in the sub-forum
Moderator:
Zhang Yongjun
Dean and Professor of the School of Remote Sensing and Information Engineering, Wuhan University
Speakers:
Song Chaozhi
Chairman of the Chinese Society of Surveying and Mapping
Speakers:
Wu Wenzhong
Former Chief Planner of the Ministry of Natural Resources
Executive Vice President of China Society of Surveying and Mapping
Zhang Yongsheng
He is a first-class professor and major general of the People's Liberation Army Information Engineering University
Wang Lizhe
Member of the Standing Committee of the Party Committee, Vice President and Professor of China University of Geosciences (Wuhan).
Liu Xiaoding
Secretary of the Party Committee and President of Guangdong Provincial Institute of Land and Resources Surveying and Mapping
Li Wandong
Second-level researcher of China Academy of Land Surveying and Planning
Li Yansheng
Vice Dean and Professor of School of Remote Sensing and Information Engineering, Wuhan University
Wei Rulan
Director of Wuhan R&D Center of Guangdong Southern Digital Technology Co., Ltd
Guest host information
Zhang Yongjun
Unit and job title:
Dean and Professor of the School of Remote Sensing and Information Engineering, Wuhan University
Curriculum vitae
Doctoral supervisor. Chairman of the Photogrammetry and Remote Sensing Professional Committee of the Chinese Society of Surveying and Mapping. He was selected into the National High-level Talent Program and received funding from the Outstanding Youth Science Fund.
He has long been engaged in the research of multi-feature integrated photogrammetry processing of aerospace multi-source remote sensing data, including multi-feature joint regional network adjustment of aerospace multi-source remote sensing data, multi-feature collaborative processing of multi-source satellite images, quasi-real-time intelligent processing of medium and low-altitude images, intelligent extraction of semantic information from remote sensing images, and real-world 3D modeling.
He is responsible for the development of the aerospace remote sensing image digital photogrammetry grid processing system DPGrid, the multi-modal satellite image photogrammetry remote sensing intelligent processing system MIPS and the multi-source remote sensing data three-dimensional modeling system LiDARPro, which have been successfully applied to major national projects and various geographic information product production projects. As the first completer, he won the second prize of the National Science and Technology Progress Award, the special prize of Surveying and Mapping Science and Technology and the special prize of Surveying and Mapping Science and Technology Progress Award. He has presided over 12 national scientific research projects and published more than 90 mainstream SCI journal papers in the field of surveying, mapping and remote sensing. It has obtained 35 authorized invention patents and 30 software copyrights. He is the co-editor-in-chief of the international journal The Photogrammetric Record, the deputy editor-in-chief of the Journal of Wuhan University· Information Science Edition, the editorial board member of the Journal of Surveying and Mapping, and the editorial board member of Acta Electronica Sinica.
Guest Speaker Information
Guest speaker: Song Chaozhi
Unit and job title:
Chairman of the Chinese Society of Surveying and Mapping
Curriculum Vitae:
Former member of the Party Leadership Group and Deputy Director of the National Administration of Surveying, Mapping and Geoinformation; He has been in charge of surveying and mapping laws and regulations, surveying and mapping industry management and geographic information industry development research for a long time; He is currently the chairman of the China Society of Surveying and Mapping.
Presentation of guest information
Speaker 1: Wu Wenzhong
Unit and job title:
Former Chief Planner of the Ministry of Natural Resources and Executive Vice President of the China Society of Surveying and Mapping
Biography:
Former chief planner of the Ministry of Natural Resources, currently the executive vice president of the China Society of Surveying and Mapping, has been engaged in surveying, mapping and geographic information business and management for a long time.
He was the author of the "Regulations on the Management of People's Republic of China Surveying and Mapping Results", and organized the preparation of mandatory national standards such as "Basic Provisions on the Security Handling of Navigation Electronic Maps", "Basic Requirements for the Security of Spatio-temporal Data Sensing Systems for Intelligent Networked Vehicles (Draft for Comments)", and "Basic Requirements for the Safe Processing of Spatio-temporal Data of Intelligent Networked Vehicles (Draft for Comments)"; Promote the first ministry-provincial joint pilot project of national geographic national conditions monitoring and 1:10,000 mapless area mapping in the Qinling Mountains; Organize the implementation of the 2020 Mount Everest elevation survey, and participate in the national surveying and mapping qualification management, the registered surveyor system and the policy reform of "multiple surveys in one". Actively plan and promote the construction and application of real 3D in China.
Title:
My view on the development trend and characteristics of spatio-temporal information technology
Report Summary:
The Ministry of Natural Resources has continuously accelerated the transformation and upgrading of surveying, mapping and geographic information, and put forward the transformation goals and tasks of "creating a unified digital spatio-temporal foundation for the construction of digital China and providing rich spatio-temporal data elements for high-quality economic and social development". How to serve and support the realization of these goals and tasks from the technical system?
This report aims to analyze the trends and characteristics of the development of spatio-temporal information technology from the whole process of data acquisition, processing, service, application and property rights in view of the impact and opportunities brought by the development of new technologies and new business formats, and put forward its own insights and thoughts on several key technologies and equipment that need to be innovated and broken through in combination with the needs of real-life 3D construction and application in China.
Speaker 2: Zhang Yongsheng
Unit and job title:
He is a first-class professor and major general of the People's Liberation Army Information Engineering University
Biography:
First-class professor of professional technology and major general. Secretary-General of the Surveying, Mapping and Remote Sensing Discipline Evaluation Group of the Academic Degrees Committee of the State Council, Deputy Director of the Photogrammetry and Remote Sensing Professional Committee of the Chinese Society of Surveying and Mapping, Leading Talent of the National Special Support Program, and Leading Talent of Military Science and Technology.
He is mainly engaged in research work in the direction of aerospace remote sensing engineering, remote sensing information processing, space intelligence, etc., and has won 3 second prizes of the National Technological Invention Award and 4 first prizes of the military, provincial and ministerial scientific and technological progress awards.
Title:
Spatial intelligence runs through the world
Report Summary:
Focusing on the demand for remote sensing and spatial intelligence technology for national security and low-altitude economic development, this paper analyzes the development trend of common technologies in the field from the construction of space-based global intelligent landmark control network, the mission planning of space-based unmanned system and the penetration of adverse environments of ground-based intelligent driving, and discusses some theories and technical methods related to wide-area remote sensing domain boundary expansion, natural visual spatial intelligence, and geospatial artificial intelligence.
Speaker 3: Wang Lizhe
Unit and job title:
Member of the Standing Committee of the Party Committee, Vice President and Professor of China University of Geosciences (Wuhan).
Biography:
Professor and doctoral supervisor of China University of Geosciences (Wuhan), winner of the National Science Fund for Distinguished Young Scholars, selected into the National Talent Program, academician of the European Academy of Sciences (Academia Europaea), Fellow of the International Institute of Electrical and Electronics Engineers (IEEE), Fellow of the International Optical Society (SPIE), member of the Standing Committee of the Party Committee and Vice President of China University of Geosciences (Wuhan).
Title:
Urban spatial information supports the Sustainable Development Goals
Report Summary:
Urbanization has been an important trend in the past few centuries, bringing about socio-economic growth and improved infrastructure, but also accompanied by challenges such as ecological pollution, social imbalance and extreme climate change. Achieving sustainable urban development has become a core goal of global urban development. This report focuses on the theme of urban spatial information supporting the Sustainable Development Goals, reviews the basic concepts and development process of urban spatial information, discusses the research progress and representative work of urban spatial information in the research of sustainable development goals, and points out the problems that need to be solved urgently.
At the end of the report, we will focus on the research frontier of large models, discuss the limitations, difficulties and urgent problems to be solved in supporting the SDGs, put forward new ideas and construction methods of urban SDG models, and look forward to the future development direction.
Speaker 4: Liu Xiaoding
Unit and job title:
Secretary of the Party Committee and President of Guangdong Provincial Institute of Land and Resources Surveying and Mapping
Biography:
Secretary of the Party Committee and President of Guangdong Provincial Institute of Land and Resources Surveying and Mapping, Director of the Key Laboratory of Tropical and Subtropical Natural Resources Monitoring in South China, Ministry of Natural Resources, and professor-level senior engineer. Graduated from Wuhan University of Surveying and Mapping, majoring in engineering surveying.
He has long been committed to the exploration and practice of surveying and mapping geographic information, spatio-temporal big data, artificial intelligence and spatial optimization decision support technology applied to natural resource management, and has presided over the completion of projects that have won many surveying and mapping science and technology awards, surveying and mapping excellent engineering awards, authorized invention patents, and won the national "advanced individual in surveying and mapping emergency support" and the "May Day Labor Medal" of Guangdong Province.
Title:
Exploration and practice of artificial intelligence in natural resource management services
Report Summary:
At present, it is in a critical period to promote the transformation of digital surveying and mapping to intelligent surveying and mapping, and the deep integration of surveying and mapping geographic information with artificial intelligence, big data, Internet of Things and other technologies has made geographic intelligence move towards spatial intelligence.
Focusing on the actual needs of natural resource management in the new era, combined with the construction of smart natural resources in Guangdong Province, this report explores how artificial intelligence (AI) large models can empower the application of geospatial data acquisition, information extraction, knowledge mining, etc., and innovates new models and methods of natural resource management services in Guangdong. From the perspective of application and practice, the report introduces the current needs of natural resource management, the ideas of supporting services, the exploration and practice of key technologies and the results achieved, which has inspiration and reference significance for improving the level and efficiency of natural resource management and digital and intelligent governance of land space under the new situation.
Speaker 5: Li Wandong
Unit and job title:
Second-level researcher of China Academy of Land Surveying and Planning
Biography:
Chief technical engineer in the field of survey of China Institute of Land Survey and Planning, secretary-general of the cadastral branch of the China Land Society, deputy head of the survey team and deputy head of the verification team of the Third National Land Survey Office.
He has been engaged in land survey, land right confirmation and registration, construction land survey and demarcation, and cadastral survey for a long time; As the host, he completed large-scale projects such as the second national land survey and verification supervision, and the remote sensing monitoring and verification of the national land (land) change survey from 2010 to 2021; As the main drafting and compilation of the "Urban Grading Regulations", "Technical Regulations for Land Change Survey", "Technical Regulations for the Third National Land Survey", "Regulations for Urban Cadastral Survey", "Technical Regulations for Land Survey and Demarcation of Construction Projects" and other national standards or industry standards; As the main compiler, he has published a series of books on remote sensing monitoring, land registration theory, right confirmation registration theory, land survey, cadastral survey, etc. He presided over the creation and development of the "Land Survey Cloud" platform. Won 7 provincial and ministerial science and technology progress awards.
Title:
Artificial intelligence helps upgrade the "Land Survey Cloud".
Report Summary:
The application of the "Land Survey Cloud" platform in the investigation and supervision of natural resources. The contents include: cloud transmission of remote sensing monitoring spots, fixed-point directional timing photo presentation of evidence, mobile terminal online filling in survey information, review, verification and summary analysis at all levels on the WEB side, through the mobile terminal and WEB terminal nationwide query of any plot of land type, ownership, approval, planning and historical images and attribute data and other information, remote command and dispatch network, etc.
Problems existing in the "Land Survey Cloud" platform and the solution of artificial intelligence to help upgrade the "Land Survey Cloud". The contents include: the current problems of land survey, verification and intelligent services; Using artificial intelligence technology, we will develop technical software such as automatic identification of plants, automatic identification of evidentiary photos, and electronic fences for mobile phones, drones and tower video spots on the "Land Survey Cloud" platform; Using artificial intelligence and large model technology, based on the management policies, laws and regulations of natural resources and related departments, as well as the vector data of land survey, planning and related departments, the land use solution query system is developed on the "land survey cloud" platform, and the system has the ability of continuous self-learning and continuous updating.
Speaker 6: Li Yansheng
Unit and job title:
Vice Dean and Professor of School of Remote Sensing and Information Engineering, Wuhan University
Biography:
Professor and doctoral supervisor of Wuhan University, winner of the National Youth Talent Program, and vice president of the School of Remote Sensing Information Engineering. He has long been engaged in the research of remote sensing spatiotemporal knowledge graph, multimodal remote sensing basic large model, and intelligent interpretation of remote sensing big data.
He has presided over more than 10 projects such as the National Natural Science Foundation of China, special funding and first-class funding from the China Postdoctoral Fund, Huawei, Ant, Alipay, and Ali Damo Academy. He has published more than 70 papers in top journals and conferences in the fields of IEEE T-PAMI, RSE, Information Fusion, Science China: Information Science, CVPR, AAAI, ECCV, etc. He has won the Youth Surveying and Mapping Science and Technology Innovation Talent Award of the China Society of Surveying and Mapping, and the Special Award of Surveying and Mapping Science and Technology of the China Society of Surveying and Mapping. Selected into the "Top 2% of the World's Top Scientists" released by Stanford University in United States. He has served as an associate editor/youth editorial board member of 6 international SCI journals such as IEEE T-GRS, The Innovation, and PhotoRec.
Title:
The remote sensing model enables the intelligent understanding of complex geographical scenes
Report Summary:
The steady improvement of remote sensing earth observation capability has laid a data foundation for the emergence and development of multimodal remote sensing basic models. For different data and task types, designing different deep network frameworks and optimization methods will waste a lot of manpower and material resources.
In order to solve the above problems, this report first introduces SkySense, a 2 billion parameter multimodal time-series remote sensing basic model jointly developed with Ant Group, which achieves the best performance on 17 public datasets such as scene classification, semantic segmentation, change detection, and crop classification. Then, the complex remote sensing scene interpretation technology supported by SkySense is introduced, including semantic segmentation of large-format remote sensing images, vector mapping of large-format remote sensing images, and scene map generation of large-format remote sensing images. Finally, the future research prospects are put forward for the challenges still faced in this field, aiming to provide a reference for the future research of remote sensing basic large models.
Speaker 7: Wei Rulan
Unit and job title:
Director of Wuhan R&D Center of Guangdong Southern Digital Technology Co., Ltd
Biography:
Director of Wuhan R&D Center of Guangdong Southern Digital Technology Co., Ltd., member of the Earth Observation Working Committee of China Society of Surveying and Mapping, he has long been committed to the research and productization of spatio-temporal big data and artificial intelligence technology.
The spatio-temporal big data intelligent service platform presided over by him won the first prize of the national "Xingzhi Cup" artificial intelligence innovation and application competition. Responsible for the application of artificial intelligence + geographic information, and presided over the engineering implementation of AI + cultivated land protection, AI + health film law enforcement, AI + water conservancy, AI + power and other industries. He has applied for 19 invention patents, of which 4 have been authorized, and published 2 core papers.
Title:
Remote Sensing Intelligent Interpretation Industry Practice and Case Analysis
Report Summary:
The era of artificial intelligence + has arrived, and the integration of remote sensing technology and AI is reshaping many industries. This report focuses on the application of remote sensing intelligent interpretation technology in cultivated land protection, natural resource change monitoring, health film law enforcement and other industries, discusses the advantages and challenges of remote sensing AI technology, and shares the role of artificial intelligence technology in promoting the development of remote sensing industry with specific cases.
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