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Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

Multivolume work

Persistent identifier:
856665355
Title:
Proceedings of the Symposium on Global and Environmental Monitoring
Sub title:
techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada
Year of publication:
1990
Place of publication:
Victoria, BC
Publisher of the original:
[Verlag nicht ermittelbar]
Identifier (digital):
856665355
Language:
English
Document type:
Multivolume work

Volume

Persistent identifier:
856669164
Title:
Proceedings of the Symposium on Global and Environmental Monitoring
Sub title:
techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada
Scope:
XIV, 912 Seiten
Year of publication:
1990
Place of publication:
Victoria, BC
Publisher of the original:
[Verlag nicht ermittelbar]
Identifier (digital):
856669164
Illustration:
Illustrationen, Diagramme, Karten
Signature of the source:
ZS 312(28,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data
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:
Volume
Collection:
Earth sciences

Chapter

Title:
[WA-1 KNOWLEDGE-BASED TECHNIQUES/ SYSTEMS FOR DATA FUSION]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
A QUASI-INTELLIGENT GEOGRAPHICAL INFORMATION SYSTEM. K. Becek, and J. C. Trinder
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Proceedings of the Symposium on Global and Environmental Monitoring
  • Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)
  • Cover
  • PREFACE
  • ISPRS COMMISSION VII MID-TERM SYMPOSIUM SPONSORS
  • ISPRS COMMISSION VII MID-TERM SYMPOSIUM HOST COMMITTEE
  • ISPRS COMMISSION VII MID-TERM SYMPOSIUM EXECUTIVE COUNCIL
  • ISPRS COMMISSION VII 1988-92 WORKING GROUPS
  • TABLE OF CONTENTS VOLUME 28 PART 7-1
  • [TA-1 OPENING PLENARY SESSION]
  • [TP-1 GLOBAL MONITORING (1)]
  • [TP-2 SPECTRAL SIGNATURES]
  • [TP-3 OCEAN/COASTAL ZONE MONITORING]
  • [TP-4 SOILS]
  • [TP-5 DATA STABILITY AND CONTINUITY]
  • [WA-1 KNOWLEDGE-BASED TECHNIQUES/ SYSTEMS FOR DATA FUSION]
  • Information Fusion in Cartographic Feature Extraction from Aerial Imagery. David M. McKeown, Frederic P. Perlant, Jefferey Shufelt
  • EXPERT SYSTEMS FOR DTM USE IN MOUNTAINOUS TERRAIN. David G. Goodenough, Jean-Claude Deguise, Michael Robson
  • MODEL-BASED ASSISTANCE FOR ANALYZING REMOTE SENSOR DATA. Wolf-Fritz Riekert, Thomas Ruwwe, Günther Hess
  • A QUASI-INTELLIGENT GEOGRAPHICAL INFORMATION SYSTEM. K. Becek, and J. C. Trinder
  • CIME2: A TOOLBOX FOR DEVELOPING EXPERT SYSTEMS IN THEMATIC MAPPING USING REMOTE SENSING AND GEOCODED DATA. Catherine Mering
  • KNOWLEDGE-BASED SYSTEMS FOR COPING WITH CLOUDS. David G. Goodenough, Dena Schanzer, and Michael Robson
  • A RULE-BASED SYSTEM FOR THE EXTRACTION OF CARTOGRAPHIC FEATURES FROM LANDSAT TM IMAGERY. M. Stadelmann, G. D. Lodwick
  • A HIERARCHICAL TERRAIN INTERPRETATION SYSTEM USING 'PIXEL SWAPPING' METHOD. Joji Iisaka, Wendy Russell
  • [WA-2 AGRICULTURE]
  • [WA-3 DEMOGRAPHIC AND URBAN APPLICATIONS]
  • [WA-4 GLOBAL MONITORING (2)]
  • [WA-5 WATER RESOURCES]
  • [WP-1 ADVANCED COMPUTING FOR INTERPRETATION]
  • [WP-2 LAND USE AND LAND COVER]
  • [WP-3 FOREST INVENTORY APPLICATIONS]
  • [WP-4 INTERPRETATION AND MODELLING]
  • [WP-5 LARGE SHARED DATABASES]
  • [THA-1 SECOND PLENARY SESSION]
  • [THP-1 HIGH SPECTRAL RESOLUTION MEASUREMENT]
  • [THP-2 GIS INTEGRATION]
  • [THP-3 ENVIRONMENTAL IMPACT ASSESSMENT]
  • [THP-4 MICROWAVE SENSING]
  • [THP-5 IMAGE INTERPRETATION AND ANALYSIS]
  • [FA-1 TOPOGRAPHIC ANALYSIS]
  • [FA-2 GLOBAL MONITORING (3)]
  • [FA-3 FOREST DAMAGE]
  • Cover

Full text

157 
TABLE UCH (The characteristic of the user) 
QTYPE 
NOE 
NOU 
DATE 
Q1 
14 
56 
12-04-90 
Qn 
10 
74 
20-04-90 
QTYP 
the type of a query 
NOE 
the number of errors 
NOU 
number of times queiy used 
DATE 
date of last addition to NOU 
Q1 
"SELECT" 
Q2 
"INSERT", etc 
Figure 1. Structure of the database 
’’The characteristic of the user" 
The sequence of operations which 
perform this procedure is as follows: 
a. The user introduces a query. 
b. The system checks the query for 
correctness in relation to the language rules. 
c. If an error has occurred, the procedure for 
identification and correction of errors is 
activated. In the database "the characteristic of 
the user" is stored the information about the 
error made by that user. 
d. If no error has been detected the 
information about the use of the query is stored. 
e. On the basis of the frequency of errors, 
the appropriate level of the help message is 
displayed. 
f. The user continues execution of the 
corrected query. 
In this implementation of quasi- 
intelligent "help" three levels of the help 
messages have been introduced: Level 1 will be 
displayed if p (the frequency of the error) > 0.3, 
level 2 if 0.1 =< p =< 0.3 and level 3 if p < 0.1. The 
boundary of the intervals do not have any 
theoretical background since they are 
empirically derived based on tests. The 
experiments have shown that the effectiveness 
and the ease of operation of a system equipped 
with a such quasi-intelligent help are much 
higher than where traditional "help" is 
employed. 
3.3 A Procedure for Identification and 
Execution of the Typical Tasks. 
Work with a GIS can be consider as a 
sequence of queries. In almost all cases, each 
particular user performs individual type(s) of 
task(s). This means that in each work session 
he/she will use typically the same, sequence of 
queries, the difference being only in the data sets 
employed. Such an approach is not efficient if 
lengthy periods are spent inputting information 
via the keyboard. Formulation of identical 
sequences of queries in each session can be 
utilised to improve the effectiveness and speed of 
operation of the system. This can be achieved by 
the following procedure. 
(i) For each "new" user the system creates a 
database which we call "YOUR_JOB" (Figure 
2). 
TABLE YOUR.JOB 
(The database of typical tasks) 
SQNO SQSTR 
1 Ql...Qi...Qn 
N Qi...Qj...Qk 
SQNO sequence number 
SQSTR sequence structure 
and associated TABLE QBASE 
(The database of queries structure) 
QTYPE QSTR 
Q1 "SELECT FROM..." 
Qn "DELETE ...FROM..." 
QTYPE the type of a query 
QSTR the structure of a query 
Figure 2. Structure of the database 
"YOUR_JOB". 
(ii) During several work sessions, the 
system introduces to the database the sequence of 
queries used in each session. 
(iii) Then the system makes a decision in 
regard to its mode of operation. 
(iv) The user is informed that a sequence or 
sequences of queries, which will be considered
	        

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