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- Research Progress of Airborne Laser Bathymetry Technology
- Big Data GIS
- ФОРМУЛЫ ПРЕОБРАЗОВАНИЙ КООРДИНАТ'ЙЗ ЗОНЫ ПРОЕКЦИИ ГАУСА В СМЕЖНУЮ ЗОНУ И ИЗ ПРОЕКЦИЮ ЛАМБЕРТА НА СЕКУЩЕМ' КОНУСЕ; В ПРОЕКЦИИ ГАУССА ПО СПОСОБУ ВСПОМ0-ГАТЕЛЪНОЙ ТОЧКИ НА ЛЮБОМ МЕСТЕ
- Research Advance and Application Prospect of UnmannedAerial Vehicle Remote Sensing System
- Web GIS Component
- Big Data in Smart City
- An Improved Cellular Automata Model for Simulating Pedestrian Evacuation
- Research Progress of Airborne Laser Bathymetry Technology
- Big Data GIS
- ФОРМУЛЫ ПРЕОБРАЗОВАНИЙ КООРДИНАТ'ЙЗ ЗОНЫ ПРОЕКЦИИ ГАУСА В СМЕЖНУЮ ЗОНУ И ИЗ ПРОЕКЦИЮ ЛАМБЕРТА НА СЕКУЩЕМ' КОНУСЕ; В ПРОЕКЦИИ ГАУССА ПО СПОСОБУ ВСПОМ0-ГАТЕЛЪНОЙ ТОЧКИ НА ЛЮБОМ МЕСТЕ
- Research Advance and Application Prospect of UnmannedAerial Vehicle Remote Sensing System
- Web GIS Component
- Big Data in Smart City
- An Improved Cellular Automata Model for Simulating Pedestrian Evacuation
Top Cited
1
2017, 42(9): 1185-1194.
DOI: 10.13203/j.whugis20150779
Abstract:
Anunderwater topography survey is a basics part of marine science research, and the main task of hydrographic surveying and charting. The traditional underwater acoustics method that uses a survey boat as a carrier can have difficulties in coastal zones or shallow water. In recent years, the emergence and application of airborne laser bathymetry technology has made up for the technical defects of traditional underwater acoustics, providing a new method to solve the practical engineering problems. This paper introduces the basic principles and error sources in airborne laser bathymetry, and summarizes the current progress and developments The advantages and problems of airborne laser bathymetry technology in the offshore shallow water areas are identified and analyzed for reference. This paper concludes with a discussion of developing trends in this technology.
Anunderwater topography survey is a basics part of marine science research, and the main task of hydrographic surveying and charting. The traditional underwater acoustics method that uses a survey boat as a carrier can have difficulties in coastal zones or shallow water. In recent years, the emergence and application of airborne laser bathymetry technology has made up for the technical defects of traditional underwater acoustics, providing a new method to solve the practical engineering problems. This paper introduces the basic principles and error sources in airborne laser bathymetry, and summarizes the current progress and developments The advantages and problems of airborne laser bathymetry technology in the offshore shallow water areas are identified and analyzed for reference. This paper concludes with a discussion of developing trends in this technology.
LIU Yanxiong, GUO Kai, HE Xiufeng, XU Wenxue, FENG Yikai. Research Progress of Airborne Laser Bathymetry Technology[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1185-1194. DOI: 10.13203/j.whugis20150779
2
2014, 39(6): 641-644.
DOI: 10.13203/j.whugis20140150
Abstract:
Objective Big data is changing the world,and also posing challenges for GIS.The volume,velocity,and variety of these data challenge the data management ability of GIS,while the veracity and value is-sues of big data challenge spatial analysis theory and methods.Thus,as a tool focusing on spatial datamanagement,analysis and visualization,GIS has to make necessary adjustments and changes to meetthe big data requirements.This paper discusses the challenges based on the 5Vproperties of big data,and then,analyzes three characteristics of future GIS in the big data era,which are:①scalable data management,②data-driven modeling and data mining,and③ geo-computational visual analytic.
Objective Big data is changing the world,and also posing challenges for GIS.The volume,velocity,and variety of these data challenge the data management ability of GIS,while the veracity and value is-sues of big data challenge spatial analysis theory and methods.Thus,as a tool focusing on spatial datamanagement,analysis and visualization,GIS has to make necessary adjustments and changes to meetthe big data requirements.This paper discusses the challenges based on the 5Vproperties of big data,and then,analyzes three characteristics of future GIS in the big data era,which are:①scalable data management,②data-driven modeling and data mining,and③ geo-computational visual analytic.
LI Qingquan, LI Deren. Big Data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644. DOI: 10.13203/j.whugis20140150
3
1957, 1(0): 1-22.
Е Cюэ-ань. ФОРМУЛЫ ПРЕОБРАЗОВАНИЙ КООРДИНАТ'ЙЗ ЗОНЫ ПРОЕКЦИИ ГАУСА В СМЕЖНУЮ ЗОНУ И ИЗ ПРОЕКЦИЮ ЛАМБЕРТА НА СЕКУЩЕМ' КОНУСЕ; В ПРОЕКЦИИ ГАУССА ПО СПОСОБУ ВСПОМ0-ГАТЕЛЪНОЙ ТОЧКИ НА ЛЮБОМ МЕСТЕ[J]. Geomatics and Information Science of Wuhan University, 1957, 1(0): 1-22.
4
2014, 39(5): 505-513.
DOI: 10.13203/j.whugis20140045
Abstract:
Objective First,we expound the background of rise of UAVRSS in this paper.Then,we discuss thefoundation,problem,research progress and trends for development of UAVRSS from unmannedaerial platform,flight control and navigation,data transmission and storage,data processing,sensortechnology,airspace usage policy,and so on.Third,we set forth the necessity and significance of de-velopment of UAVRSS through UAVRSS applications and practices in many related industry domain.At last,we make recommendations on development of UAVRSS from science and technology policy,industry policy,financial policy and so on,respectively.
Objective First,we expound the background of rise of UAVRSS in this paper.Then,we discuss thefoundation,problem,research progress and trends for development of UAVRSS from unmannedaerial platform,flight control and navigation,data transmission and storage,data processing,sensortechnology,airspace usage policy,and so on.Third,we set forth the necessity and significance of de-velopment of UAVRSS through UAVRSS applications and practices in many related industry domain.At last,we make recommendations on development of UAVRSS from science and technology policy,industry policy,financial policy and so on,respectively.
LI Deren, LI Ming. Research Advance and Application Prospect of UnmannedAerial Vehicle Remote Sensing System[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 505-513. DOI: 10.13203/j.whugis20140045
5
2002, 27(4): 387-390.
Abstract:
Internet GIS based on JavaBean can be deployed into two tiers or N tiers application,which contains GIS browser,Web server,GIS application server and spatial database server.GIS browser is the Web browser which supports Java virtual machine,such as Netscape,Ineternet Explorer.Web Server is the server which supports WWW,servlet and JSP,such as iPlanet Web server.GIS application servers is the servers which finish the critical business logic,such as vector data service,image data service and DEM data service.Database server is the server which stores the spatial data.Spatial data organization on Internet is different from the traditional GIS.The goal is to access data simply and quickly.In general,it's geometry includes point,line,polygon and annotation.GeoSurfV4.0 is an example of Internet GIS software based on JavaBean.It contains four JavaBeans:GeoSurf2D,GeoSurf3D,GeoSurfTheme,GeoRouteServer.There are four different approaches to construct GIS application using component Internet GIS based on JavaBean:Java Application,Java Applet,Java Server Pages and Active Server Pages.
Internet GIS based on JavaBean can be deployed into two tiers or N tiers application,which contains GIS browser,Web server,GIS application server and spatial database server.GIS browser is the Web browser which supports Java virtual machine,such as Netscape,Ineternet Explorer.Web Server is the server which supports WWW,servlet and JSP,such as iPlanet Web server.GIS application servers is the servers which finish the critical business logic,such as vector data service,image data service and DEM data service.Database server is the server which stores the spatial data.Spatial data organization on Internet is different from the traditional GIS.The goal is to access data simply and quickly.In general,it's geometry includes point,line,polygon and annotation.GeoSurfV4.0 is an example of Internet GIS software based on JavaBean.It contains four JavaBeans:GeoSurf2D,GeoSurf3D,GeoSurfTheme,GeoRouteServer.There are four different approaches to construct GIS application using component Internet GIS based on JavaBean:Java Application,Java Applet,Java Server Pages and Active Server Pages.
CHEN Nengcheng, GONG Jianya, ZHU Xinyan, LIU Lin. Web GIS Component[J]. Geomatics and Information Science of Wuhan University, 2002, 27(4): 387-390.
6
2014, 39(6): 631-640.
DOI: 10.13203/j.whugis20140135
Abstract:
Objective In this paper,we introduce the concept of the smart city,summarize its developmentprocess,analyze the construction motivation and objective of the smart city in China and elaborate thesupporting technologies for the smart city.Then we propose a smart city infrastructure which is basedon digital city,the Internet of Things(IOT)and cloud computing technologies.Smart city will a-chieve comprehensive awareness and management of people and things to provide various intelligentservices.Smart city with mass sensors will continuously collect vast amounts of data.Big data insmart city also bring many problems and challenges.To deal with those big data-related issues,wepropose a strategy mainly base on the cloud computing and data mining.After that,we presente aframework for cloud platform and propose the suggestion of establish smart city operation center.Inthe end,we look forward to a bright future for the smart city.
Objective In this paper,we introduce the concept of the smart city,summarize its developmentprocess,analyze the construction motivation and objective of the smart city in China and elaborate thesupporting technologies for the smart city.Then we propose a smart city infrastructure which is basedon digital city,the Internet of Things(IOT)and cloud computing technologies.Smart city will a-chieve comprehensive awareness and management of people and things to provide various intelligentservices.Smart city with mass sensors will continuously collect vast amounts of data.Big data insmart city also bring many problems and challenges.To deal with those big data-related issues,wepropose a strategy mainly base on the cloud computing and data mining.After that,we presente aframework for cloud platform and propose the suggestion of establish smart city operation center.Inthe end,we look forward to a bright future for the smart city.
LI Deren, YAO Yuan, SHAO Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. DOI: 10.13203/j.whugis20140135
7
2017, 42(9): 1330-1336.
DOI: 10.13203/j.whugis20150763
Abstract:
A new evacuation model is proposed for simulating pedestrian dynamics during emergencies. Based on the traditional cellular automata model enhanced with a finer discretization of space, each pedestrian occupies more than one cell and can move more than one cell during each time step. The operational rules of desire repulsive, and friction forces in a social force model are introduced in the proposed model. We establish an exit choosing method and the movement rules, and observe pedestrian movements to new destinations. Velocity is considered when describing dynamic processes of pedestrian behaviors during an evacuation. The characteristics of pedestrian evacuations are analysed in simulations and. The results show that the proposed model is valid for simulating pedestrian evacuation.
A new evacuation model is proposed for simulating pedestrian dynamics during emergencies. Based on the traditional cellular automata model enhanced with a finer discretization of space, each pedestrian occupies more than one cell and can move more than one cell during each time step. The operational rules of desire repulsive, and friction forces in a social force model are introduced in the proposed model. We establish an exit choosing method and the movement rules, and observe pedestrian movements to new destinations. Velocity is considered when describing dynamic processes of pedestrian behaviors during an evacuation. The characteristics of pedestrian evacuations are analysed in simulations and. The results show that the proposed model is valid for simulating pedestrian evacuation.
ZHANG Xinlong, CHEN Xiuwan, LI Huaiyu, LI Fei. An Improved Cellular Automata Model for Simulating Pedestrian Evacuation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1330-1336. DOI: 10.13203/j.whugis20150763
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