Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Monday, June 6, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session B-1 WG II/3 - Technologies for Large Volumes of Spatial Data - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PROGRAMMING WITH CONSTRAINTS IN AN OBJECT-ORIENTED GIS FRANCOIS BOUILLE

Write comment:: Text parallel in englischer und französischer Sprache abgedruckt.

Document type:: Monograph

Structure type:: Chapter

detection, -maximum intensity for sturation, — maximum storage, —delay for acquisition, -delay for transmission, — -delay for processing, -a BEHAVIOR, which is an algorithmic part, composed of any set of executable statements, this behavior being executed when a launcher is modified. The figure 7 shows the graphical representation of the neurons. A "launcher" may be any attribute or link, which, when modified, will launch the behavior. min.intens.for detection max.intens.for saturation maximum storage delay for acquisition delay for transmission J delay for processing et ur (launcher) p FE Behavior 3 C» C»C»C» (interactions) Fig.7 : Hyperclass NEURON and its components. For instance, on the figure 8, we see a neuron of the class FIRE HYDRANT which launcher is modified by an external intervention, which behavior consists of modifying the pressure of another neuron of the class SECONDARY PIPE, and the behavior of this last one modifies the state of another neuron of the class surpressor, etc... external intervention m diameter oO delivery C pressure D state FIRE HYDRANT SECONDARY PIPE pressure P O input pressure CInominal output pressure Cloutput pressure behavior “behavior behavior etc... Fig. 8 : Neuron interaction and chaining. 42 Neurons too may be fuzzy (Bouille, 1991b); they are very usefull in terrain modelling (Bouille, 1992). Rules, processes and neurons have not exactly the same goals; though anyone may sometimes replace another one (Bouille, 1993a, 1993c), they are more dedicated to specific topics, respectively expert system, simulation, automated learning. Nevertheless, they may interfer, a rule possibly modifying a fact which is a launcher for a neuron, the behavior of this one then activating a process which body will modify another a.d.t., as represented on the figure 9. E Facts ] NEURON auncher Behavior Ts © Process D il Sire etc... Fig. 9 : Mixing rules, processes and neurons. All the preceding tools are required for the present geographical applications; in fact, this requirement is not new (Bouillé, 1981) we would like to emphasize the need of a graphical representation of all types previously mentionned, together with a programming language based upon a perfectly defined grammar; that is the purpose of the programming language ADT'81, particularly convenient to geography and cartography (Bouillé, 1994a). Many applications have been developped; among others, digital and topological terrain models are very promising (Bouillé, 1987), (Baton-Hubert, 1994), (Hubert, 1991, 1993a,b) as well as automated positionning of the toponymy on the maps (Titeux, 1989). The complete kernel of the HBDS system includes several tools interconnected, we just here mention: -a multi-level indexed sequential file system, -a very large object-oriented database,based upon some decisive criteria (Bouillé, 19912), -a multi-engine fuzzy expert system managing an illimited set of persistent rules and facts,the database thus becoming a very large knowledge base, —a simulation system with an engine managing an illimited s second er —a neura object-or an auton expert sy: —a 3D ste multimed -a specif 1986), ir robotics t decade. The comp an ADT'8 an execul integrated (Bouillé, 3. Any type looks like time, and is invoke concerns : a class, i following result gray CREATE " Fis Fig. 1 In this fir concerned consider a be greater

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