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The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

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fullscreen: The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

Monograph

Persistent identifier:
856566209
Author:
Chen, Jun
Title:
The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Sub title:
May 23 - 25, 2001, Bangkok, Thailand
Scope:
VI, 434 Seiten
Year of publication:
2001
Place of publication:
Pathumthani, Thailand
Publisher of the original:
AIT
Identifier (digital):
856566209
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
BUILDING OF B/S-BASED OBJECT ORIENTED ELECTRONIC CHART DATABASE. Guangru LI, Shaopeng SUN, Depeng ZHAO
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
  • Cover
  • ColorChart
  • Title page
  • PREFACE
  • Conference Venue
  • CONTENTS
  • DISTRIBUTION ANALYSIS AND AUTOMATIC GENERALIZATION OF URBAN BUILDING CLUSTER. Tinghua AI
  • GENERALIZATION FOR 3D GIS. Fengwen BAI, Xiaoyong CHEN
  • USING IKONOS HIGH RESOLUTION REMOTE SENSING DATA FOR LAND USE CLASSIFICATION IN CHINA. Georg BARETH
  • LARGE SCALE GIS FOR A SUBURBAN TOWNSHIP OF BEIJING TO MODEL STRATEGIES FOR SUSTAINABLE AGRICULTURE ON FIELD LEVEL. Georg BARETH, Si JIN, Tailai YAN and Reiner DOLUSCHITZ
  • THREE LEVEL HIERARCHICAL QUALITATIVE DESCRIPTIONS FOR DIRECTIONS OF SPATIAL OBJECTS. Han CAO, Jun CHEN, Daosheng Du
  • THE APPLICATION OF CENTROGRAPHIC ANALYSIS TO THE STUDY OF THE INTRA-URBAN MIGRATORY PHENOMENON IN THE GREATER MONCTON AREA IN CANADA, 1981-1996. Huhua CAO
  • PER-FIELD CLASSIFICATION INTEGRATING VERY FINE SPATIAL RESOLUTION SATELLITE IMAGERY WITH TOPOGRAPHIC DATA. Mauro CAPRIOLI, Eufemia TARANTINO
  • INTEGRATION OF GIS WITH PESTICIDES LOSSES RUNOFF MODEL. Bing CHEN, Gordon HUANG, Jonathan LI, Yueren LI, and Yifan LI
  • RESEARCH ON 3D CITY VISUALIZATION BASED ON INTERNET. Jing CHEN, Qingquan Ll, Jianya GONG, Bisheng YANG
  • DYNAMIC AND MULTI-DIMENSIONAL GIS: AN OVERVIEW. Jun CHEN, Zhilin LI, Jie JIANG
  • A GIS-SUPPORTED ENVIRONMENTAL RISK ASSESSMENT FOR PETROLEUM WASTE CONTAMINATED SITE. Su Chen, Gordon Huang, and Jonathan Li
  • MEASURING UNCERTAINTY IN SPATIAL FEATURES IN A THREE-DIMENSIONAL GEOGRAPHICAL INFORMATION SYSTEM. Chui Kwan CHEUNG and Wenzhong SHI
  • SPATIAL DEVELOPMENT RESEARCH OF LARGE CITY BASED ON GIS SPATIAL ANALYSIS. Anrong DANG, Qizhi MAO, Xiaodong WANG
  • DIGITAL CLOSE RANGE PHOTOGRAMMETRY: A POTENTIAL TOOL FOR LAND FEATURE PRESENTATION. Gang DENG
  • 3D SPATIAL OBJECTS MODELING AND VISUALIZATION BASED ON LASER LANGE DATA. Jie DU, Apisit EIUMNOH, Xiaoyang CHEN, Michiro KUSANAGI
  • 3D REPRESENTATION AND SIMULATION OF MINING SUBSIDING LAND BASED ON GIS, DPS AND GPS. Peijun DU, Dazhi GUO and Qihao WENG
  • USE DSM/DTM TO SUPPORT CHANGE DETECTION OF BUILDING IN URBAN AREA. Hong FAN, Jianqing ZHANG, Zuxun ZHANG, Zhifang LIU
  • ENHANCE MANAGEMENT LEVEL OF URBAN WATER SUPPLY DEPARTMENT WITH 3S TECHNOLOGY. Yewen FAN and Wei WANG
  • AUTOMATIC REGISTRATION OF SATELLITE IMAGE TO MAP. Kensaku FUJII
  • DIFFERENTIAL SATELLITE POSITIONING OVER INTERNET. Ying. GAO and Zhi. LIU
  • FEDERATED SPATIAL DATABASES AND INTEROPERABILITY. Jianya GONG, Yandong WANG
  • OPTIMIZING PATH FINDING IN VEHICLE NAVIGATION CONSIDERING TURN PENALTIES AND PROHIBITIONS. Gang HAN, Jie JANG, Jun CHEN
  • DEVELOPMENT OF DYNAMIC MANAGEMENT SPATIAL-TEMPORAL INFORMATION SYSTEM AND APPLICATION FOR CENSUS DATA- TOWARD ASIAN SPATIAL TEMPORAL GIS (ST-GIS) (2)-. Michinori HATAYAMA, Shigeru KAKUMOTO, Hiroyuki KAMEDA
  • MODELING LAND USE EFFECT ON URBAN STORM RUNOFF AT THE WATERSHED SCALE. Chansheng HE
  • EXTRACTION OF THE SEA OIL INFORMATION FROM TM AND AVHRR IMAGE BY THE METHOD OF FEATURE DATA LINE -WINDOW. Fengrong HUANG
  • THE APPLICATION OF NEURAL NETWORK AND FUZZY SET TO CLASSIFICATION OF REMOTELY SENSED IMAGERY. Dongmin HUO, Jingxiong ZHANG, Jiabing SUN
  • A SELF-ADAPTIVE ALGORITHM OF AUTOMATIC INTERIOR ORIENTATION FOR METRIC IMAGES. Wanshou JIANG, Guo ZHANG, Deren LI
  • DETECTION OF SHEER CHANGES IN AERIAL PHOTO IMAGES USING AN ADAPTIVE NONLINEAR MAPPING. Yukio KOSUGI, Munenori FUKUNISHI, Mitsuteru SAKAMATO, Wei LU and Takeshi DOIHARA
  • EFFECTIVENESS OF MENU-DRIVEN VS. SCRIPT-BASED GIS TUTORIAL SYSTEMS. Bin LI
  • BUILDING OF B/S-BASED OBJECT ORIENTED ELECTRONIC CHART DATABASE. Guangru LI, Shaopeng SUN, Depeng ZHAO
  • MINE GIS 3D DATA MODEL AND SOME THINKING. Q. Y. LI, D. Y. CAO, X. D. ZHU
  • THE RESEARCH OF THE INFINITELY VARIABLE MAP SCALE IN GIS. Yifan LI, Shaopeng SUN
  • RESEARCH ON INFORMATION AUTOMATIC GENERALIZATION WITH VARYING MAP SCALE. Yuanhui LI, Dan LIU, Yifan LI
  • QUANTITATIVE MEASURES FOR SPATIAL INFORMATION OF MAPS. Zhilin LI and Peizhi HUANG
  • AN ALGEBRA FOR SPATIAL RELATIONS. Zhilin LI, Renliang ZHAO and Jun CHEN
  • A STUDY ON THE EXTRACTION OF DEM FROM SINGLE SAR IMAGE. Mingsheng LIAO, Jie YANG, Hui LIN
  • A GIS-BASED ENVIRONMENTAL DECISION SUPPORT SYSTEM FOR THE ERHAI LAKE WATERSHED MANAGEMENT. Lei LIU, Gordon HUANG, and Jonathan LI
  • APPLICATION OF 4D AND ASSOCIATED ENABLING TECHNOLOGIES FOR URBAN DECISION SUPPORT SYSTEM. Rong LIU, Penggen CHENG, Zhuguo XING, Kaiyun LU
  • 3D RECONSTRUCTION OF A BUILDING FROM SINGLE IMAGE. Yawen LIU, Zuxun ZHANG, Jianqing ZHANG
  • AN INTELLIGENT GIS SEARCH ENGINE TO RETRIEVE INFORMATION FROM INTERNET. Zhe LIU, Yong GAO
  • AN ENHANCED TIN GENERATION METHOD FOR USING CONTOUR LINE AS CONSTRAINS. Wei LU, Takeshi DOIHARA
  • NON-LINEAR RECTIFICATION OF MAP WITH COLLINEAR CONSTRAIN. Wei LU, Takeshi DOIHARA
  • A STUDY ON VEHICLE POINT CORRECTING ALGORITHM IN GPS/AVL SYSTEMS. HongShan NIU, Jie XU, Hong LI
  • A SPATIO-TEMPORAL GEOGRAPHIC INFORMATION SYSTEM BASED ON IMPLICIT TOPOLOGY DESCRIPTION: STIMS. Yutaka OHSAWA, Atushi NAGASHIMA
  • APPLICATION OF VRML IN A DYNAMIC AND MULTI-DIMENSIONAL DIGITAL HARBOR. Mingyang PAN, Yifan LI, Depeng ZHAO
  • A COMMON DATA MODEL AND REQUESTING LANGUAGE FOR SPATIAL INFORMATION MARKETPLACES. Matthew Y. C. PANG, Wenzhong SHI, Geoffrey SHEA
  • TOPOLOGIC DATA STRUCTURE FOR A 3D GIS. Mattias Pfund
  • AUTOMATIC RECOGNITION AND LOCATION OF ROAD SIGNS FROM TERRESTERIAL COLOR IMAGERY. Sompoch PUNTAVUNGKOUR, Xiaoyang CHEN, Michiro KUSANAGI
  • A NEW STEREO MATCHING APPROACH USING EDGES AND NONLINEAR MATCHING PROCESS OBJECTED FOR URBAN AREA. Mitsuteru SAKAMOTO, Wei LU, Pingtao WANG
  • MINING SEQUENTIAL PATTERN FROM GEOSPATIAL DATA. Yin SHAN
  • THE ADVANCED GIS AND GPS TECHNOLOGIES TO BE USED IN THE LANCHANG BASIN AREA OF YUNNAN PROVINCE OF CHINA. Kun SHI
  • PRIMARY SPATIAL CHANGES. Hong SHU, Christopher GOLD and Jun CHEN
  • INCORPORATING 3D GEO-OBJECTS INTO AN EXISTING 2D GEO-DATABASE: AN EFFICIENT USE OF GEO-DATA. Jantien STOTER, Peter VAN OOSTEROM
  • A FRAMEWORK FOR AUTOMATED CHANGE DETECTION SYSTEM. Haigang SUI, Deren LI, Jianya GONG
  • BUILDING DISTRIBUTED GEOGRAPHIC INFORMATION SYSTEM FOR OCEAN TRANSPORTATION (GIS-OT). Shaopeng SUN, Guangru LI, Depeng ZHAO
  • COMPUTATION OF ACCURACY ASSESSMENT IN THE INTEGRATION OF PHOTOGRAPH AND LASER DATA. Taravudh TIPDECHO & Xiaoyong CHEN
  • PROXIMITY AND ACCESSIBILITY TO SUITABLE JOBS AMONG WORKERS OF VARIOUS WAGE GROUPS. Fahui WANG
  • WEB MAPPING WITH GEOGRAPHY MARKUP LANGUAGE. Xingling WANG, Chongjun YANG, Donglin LIU
  • INTEGRATION OF COMPACTNESS MEASUREMENT METHODS USING FUZZY MULTICRITERIA DECISION MAKING : A NEW APPROACH FOR COMPACTNESS MEASUREMENT IN SHAPE BASED REDISTRICTING ALGORITHM. Yinchai WANG
  • GIS-BASED SYSTEM FOR RAINFALL ESTIMATION USING RAINGAUGE DATA: A PROTOTYPE. Yinchai WANG, Teck Kiong SIEW
  • A NEW APPROACH FOR DISTRIBUTED GIS. Yuxiang WANG, Chongjun YANG, Donglin LIU
  • GEOD2D: A FLEXIBLE SOLUTION FOR GIS DATA EXCHANGE BASED ON COM. Huayi WU, Xinyan ZHU
  • GEOLOGICAL DATA ORGANIZATION FOR FEM BASED ON 3D GEOSCIENCE MODELING. Lixin WU, Enke HOU, Chunan TANG
  • DIGITAL MODEL AND GPS BASED PATH REPRESENTATION AND OPTIMIZATION. Linyuan XIA
  • AN COMPOSITE TEMPORAL DATA MODEL IN CADASTRAL INFORMATION SYSTEM. Changsheng XUE, Qingquan LI, and Bisheng YANG, Yuanchun HUA, Shiwu XU
  • A SPATIAL-TEMPORAL DATA MODEL FOR MOVING AREA PHENOMENA. Shanzhen Yl, Yong ZHONG, Lizhu ZHOU, Jun CHEN, Qilun LIU
  • CONSTRUCTION OF 3D MODELS FOR ELEVATED OBJECTS IN URBAN AREAS USING AIRBORNE SAR POLARIMETRIC DATA. Yalkun YUSUF, Masashl MATSUOKA, Fumio YAMAZAKI, Seiho URATSUKA, Tatsuharu KOBAYASHI, Makoto SATAKE
  • COASTAL GIS: FUNCTIONALITY VERSUS APPLICATIONS. Thomas Q ZENG, Qiming ZHOU, Peter COWELL and Haijun HUANG
  • CIS AIDED CHARACTERIZATION OF SOIL AND GROUNDWATER ARSENIC CONTAMINATION IN SOUTHERN THAILAND. Jianjun ZHANG, Xiaoyong CHEN, Preeda PARKPIAN, Monthip Sriratana TABUCANON, Janewit WONGSANOON, Kensuke FUKUSHI, Skorn MONGKOLSUK and N.C.THANH
  • MULTIRESOLUTION TERRIAN MODEL. Jin ZHANG
  • A TROUS WAVELET DECOMPOSITION APPLIED TO DETECTING IMAGE EDGE. Xiaodong ZHANG, Deren LI
  • RESEARCH OF THE LAND MANAGEMENT INFORMATION SYSTEM BASED ON WEB GIS AND SPATIAL DATABASES FOR PROVINCIAL AND LOCAL GOVERNMENTS IN CHINA. Junsan ZHAO, Yaolong ZHAO, Qiaogui ZHAO and Tao WEI
  • ANALYSING BRANCH BANK CLOSURES USING GIS AND THE SMART MODEL. Lihua ZHAO, Barry J. GARMER
  • QTM-BASED ALGORITHM FOR THE GENERATING OF VORONOI DIAGRAM FOR SPHERICAL OBJECTS. Xuesheng ZHAO, Jun CHEN
  • MODELING AND LANDSCAPE OF HIGHWAY CAD. Jiaqing ZHENG, Xi’an ZHAO, Chujiang CHEN
  • ASSISTING THE DEVELOPMENT OF KNOWLEDGE FOR PREDICTIVE MAPPING USING A FUZZY C-MEANS CLASSIFICATION. A-Xing ZHU, Edward ENGLISH
  • THE DESIGN AND IMPLEMENTATION OF CYBERCITY GIS (CCGIS). Qing ZHU, Deren LI, Yeting ZHANG, Hanjiang XIONG
  • 3D COMPUTER SIMULATION OF ANCIENT CHINESE TIMBER BUILDINGS. Yixuan ZHU, Jie YANG, Deren LI
  • 3D MODELLING FOR AUGMENTED REALITY. Siyka ZLATANOVA
  • THE DESIGN OF SPATIAL DATA WAREHOUSE. Yijiang ZOU
  • AUTHOR INDEX
  • Cover

Full text

ISPRS, Vol.34, Part 2W2, "Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001 
inheritance, encapsulation, congregation, etc. 
Objected oriented geographic database need maintain the 
integrality and consistency of storage and expression. For 
example, a route has only one geometrical identification and one 
geographic identification. The data organization of geographic 
data includes organization and management of spatial data, 
attribute data, image data, etc. The key technology of data 
organization is to express and store spatial data and attribute 
data integration. 
1) spatial objects mainly divided into five categories: 
• Point: It includes single point (e.g. buoy, navigation mark, 
etc.), vector point (e.g. beacon), etc. 
• Line: Line is interconnected points or arcs, they may netlike, 
but must interconnected, such as fiber cable, etc. 
• Region: Region was made up of one or many closed and 
disjointed polygons and rings, it can include multi-island. 
For Example, anchorage ground, restricted navigation zone 
are all region. 
• Complicated object: The object was made up of two or 
more basic objects (point, line, region) or other complicated 
objects. For example, school can act as a complicated 
object,. It includes roads, houses, water tower and some 
other basic geographic elements. 
• Annotate. Annotate is used to describe place name, 
features of geographic objects, etc. Because the model 
need all terrain features should be stored integration, each 
integrated terrain feature only has single geometric object 
identification no matter how big the terrain feature is. The 
spatial data of terrain feature should be stored integration. 
But the segregation of integration of terrain features should 
depend the requests of users and applications completely. 
2) Attributes: Attributes of all spatial object should be managed in 
project unitedly by RDBMS. Attribute data were stored in tables of 
RDBMS. Referring to standard objects, users classify them 
unitedly, and appoint single classification code (identification) of 
terrain features. For example, we classify them into control point, 
road, habitation, water system, vegetation, etc. in different tiers. 
Any integrated terrain feature only corresponds to one record of 
attribute data. Single object identification (OID) connects spatial 
object and the corresponding attribute record, which was 
described in figure 1. In order to organize and express spatial 
geographic objects efficiently, we extract objects hierarchically 
according to the size of geographic objects, and arrange, 
delaminate and build spatial index for these objects. 
The system architecture of object oriented chart database. The 
B/S map database is the production of combination of database 
technology and computer network technology. It is a computer 
system to manage distributed map database. A distributed map 
database is a set that was composed by many logic related 
databases distributed in network. Each node of this network has 
independent processing ability to implement local application. At 
the same time, each node can implement global application 
through network system. Map database server is mainly used to 
manage SQL requests from clients, and return results to clients. 
In practice, database server achieves all data operations, spatial 
data organizations, concurrency control, security auditing, and 
system management in C/S database. Client mainly presides 
send user’s SQL requests to server, and processes and 
expresses the results. In a typical application structure, client 
usually deals with the application’s expressive logic. B/S map 
database is an organic association of member map database 
located in nodes of network. The management of this association 
is B/S map database system. 
Electronic Chart evolved from file-based application to spatial 
geographic extended RDBMS, and aim to a integrated object 
relational system. Therefore, we can use spatial geographic 
technology to process file, time series data, image and audio, and 
some other standard, abstract data type seamlessly. The problem, 
which must be resolved by RDBMS, can use more direct and 
accurate approach (e.g. SQL) to resolve. 
Traditionally, there are two kinds of spatial data index: The first is 
to build a spatial index out of the server and stored in BLOB, and 
you can use it or search BLOB when you use it. However, no 
matter how fine this index’s structure is, the maintenance and 
searching include external parts, which will lead to more I/O 
overhead and coexist problem, to make system slower and 
inefficient. Second method is spatial segmentation. This method 
divides data into cells according to stated grid and other layered 
architecture (e.g. quad tree). Each cell was assigned a number, 
and each spatial object relates to the number of the same cell. 
But space is not in linear order. The irregularity of many spatial 
features needs intricate searching and the check for many 
potential errors. It’s also a slower and inefficient method. 
Comparing to the methods we discuss above, R-tree is a 
high-powered, multidimensional access approach. This approach 
is built in kernel of database and cooperates with extensional 
data type to manage spatial geographic data properly. Being 
different from standard index. R-tree does not divide the space 
into integrated overlay made up of non-overlap and adjoining 
cells. Adversely, it automatically represents each object with "side 
box” that is decided by spatial figure. These “side box” may 
overlap, and do not fill all space. We should not know the spatial 
dimension of data in advance. 
A spatial data engine (SDE) layer or data class is geographic 
feature classes that have the same attribute class. In order to 
search conveniently, SDE uses DBMS attribute column index. 
SDE index all features in a layer, to realize rapid spatial searching, 
and provides high-powered searching for oversize database. The 
unique function of spatial index is to provide special two 
dimensions index of spatial features, and to realize a logical and 
nonphysical hierarchy. The efficient supporting of geographic 
data not only needs point, line and region objects, but also needs 
a set of steady spatial object models that can express their 
features clearly. SDE can describe linear features, for instance, 
an uncrossed road, a road crossed at termination, a self-crossed 
rode, and multi-roads that crossed at end-point to form a network. 
Similarly, we can describe region features by single polygon, 
hollow polygon, and poly-polygons. 
Attribute also cannot be directly indexed into regional piece 
object, but indexed into a concrete place in this regional piece. 
Due to each accessing of polygons need be included into 
reconstruction of multi-accessing, the feature we talk above may 
become a default. The spatial object model of SDE stores each 
regional piece into an integrated polygon. Thus, we can find 
entire object by only one accessing. 
In SDE, geographic features include spatial objects (e.g. point, 
line or region) and relevant attributes described by these objects. 
In RDBMS, data were stored in the tables made up of rows and 
columns. The crossed cell of row and column names field, and 
the data stored in field names value. Row represents a specific 
event, distance or geographic feature, and column includes the 
attribute of this feature. There are many types in attributes, which 
make geographic features become a value type stored in a 
column. SQL provides a interface of rational table, which enable 
user can select rows according to the number in the field. SQL 
statement is very flexible to program any basic query request. 
Through the key, user can query the required data from tables. A 
key (it may be made up of one or more columns) represents the 
table uniquely. A column or several columns can be copied to 
another table, named external key. Main key and external key link 
two tables together, which can reduce the redundancy of the 
database. This technology is called database standardization. 
We can satisfy the request and return the accurate geographic 
data through adding more tables and using the relations among 
main keys and external keys. The query results are a series of 
rows that satisfy the corresponding SQL statements. These SQL 
statements are called cursor. The application can index large 
numbers of active cursors, and query every independent row 
from a cursor. 
In object oriented DBMS, SDE can make IDS store and manage 
complicated geographic data. SDE does not change existing 
database or affect current application. It only adds a “Shape” 
column into existing table, and provides software to manage and 
access geometrical features of this column. SDE use R-tree to
	        

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Chen, Jun. The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics. AIT, 2001.
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