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:: [Friday, June 10, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session L-1 WG II/1 - Real-Time Mapping Technologies - Algorithmic Aspects]

Document type:: Monograph

Structure type:: Chapter

ieres et SPOT, erture ur des loedel é dans ection ée par velles hnique mises ).. La loedel amment érants ndant, evrait taires Les raient ur des SPOT, ce aux ire du ection MATHEMATICAL PROBLEMS OF REAL-TIME MAPPING AND DATA BASE MODELLING Erhard Pross Institute of Applied Geodesy Leipzig, Germany Commission II, Working Group 1 Abstract In real-time processing the time is the main processing direction controlled by discrete operators. Functional analytical methods integrating discrete and continuous description and methods lead to constructive tools in data base modelling and real-time mapping. The realization of image operators as difference operators depends on the the fast convergence and on the techniques' stability and algorithmic ideas of switching between spatial and time iterations and processing directions. KEYWORDS: database modelling, theory, scene analysis, optical flow 1 Introduction With the triumphal progress in computer techniques in several fields also a digital photogrammetry and real-time mapping was formed. Numerous ideas and principles in physics, electronic engineering, and new disciplines like robot and machine vision influence the digital photogrammetry in a very great amount. So we must recognize not only an integration of geodesy, photogrammetry, and cartography in geoinformatics but also new concepts and models based on modern mathematics. The separate developments in mod- elling must be integrated in one model (see [1]). The integration of different sensor types in one real-time mapping model from the data capture to the the stor- age and the post-processing of the data is investigated in [4]. The idea of this paper is to view modelling in real- time mapping from an abstract mathematical point of view and give some directions to the algorithmic realization of techniques. 2 Mathematical Background of Data Base Modelling 2.1 Abstract Space Definition For the definition of an abstract mathematical space corresponding to tasks in geoscience it is necessary to define measurements of nature signals as elements of such a space and technological processes and technical course as corresponding transformations between suit- able spaces. Spaces are characterized by the contents (images, features, ...), by the discreteness (analog, digital) or by the structure (vector, raster). The art of abstract mathematical modelling leads to such models, the concrete realization of which leads to special views on projections into and integrations within function spaces. The functional analysis is a mathematical building with powerful tools to realize such a modelling. In geoinformatics we know image spaces — including images, image sequences, raster maps, ...— and feature spaces (see [3], [10]). A mathematical model demonstrating a functional analytical description in geoscience especially remote sensing, photogrammetry, and cartography in one cal- culus was developed (see [7], [8]). From the semantic level point of view image spaces have a low level and the feature space a middle or high level. Coordinates are the spatial z-, y- and z-coordinate — in topography especially in smallscale topography the third coordinate (height) plays an important role by 2.5—, 2+1- or 3-D-GIS-modelling —, the features or attributes m and last but not least the time t. The significance of the time leads to qualitative differ- ent models in regard of time e low influence — time as date or up-dating num- ber e common coordinate e dominant processing parameter for instance in real-time mapping These several levels differ with different methods and techniques. For that reason the common methods in photogrammetry, remote sensing, and GIS — corre- sponding to the first and second level — cannot be transferred to real-time mapping processing. À functional is a transformation of an abstract space 455

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