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

Chapter

Title:: MATHEMATICAL PROBLEMS OF REAL-TIME MAPPING AND DATA BASE MODELLING Erhard Pross

Document type:: Monograph

Structure type:: Chapter

^ > ie analysis it | in time di- —continuity) eness to the e image cube y mathemat- lation meth- | this fact is ion of prob- ds to finding | functionals es (e.g. least n [6] such a 1onstrated. ne Pro- efine the ge- nages of the ning contin- ' discrete on uently these in the image ith the help frequencies, tion calculus "he minimiz- R equations, ons (see also screte planes 'ralization is and to get a s possible to ss of objects. in the image Xf the image respondence erence equa- | sense to the ive scheme it photogram- esses can be ‚tions within and qualified ı dependence : use of prin- ; with image jecause from space continuous discrete time : image digital continuous ; flow image flow : image digital discrete 5 : 8 sequences images Figure 2: Structure Characterization the point of view of structure categories the discrete- ness and the continuum are different. Only an adaptive problem-depended digitalization in space and time leads to a regular grid structure for difference equation in zj, y; and t,: A(z), (mo i()zo By separation and with a multiindex (s) this equation is transfered into 76) — A(z 9-7?) In an example in [2] comparing variation methods with least squares methods this technique is demonstrated. 4 Outlook The modelling in real-time mapping encloses the def- inition of suitable photogrammetric principles of con- servation (image intensity, image energy, velocity field, ...) and corresponding realizations, which are as a rule linear combinations of mathematical operators like an equation of weighted sums of operators, that must be effectively solved by iteration of difference equations determined by image convolutions. By using several images or a quasi-continuous image cube methods in real-time techniques essentially dif- fer. Another view to modelling realizes the image cube trajectories as parallaxes. The velocity is the first derivative at the time and the velocity variation is the second derivative or the acceleration. The par- allax can be interpreted as result of a projection in time direction within the image cube — also the dig- itized image flow corresponds to the parallax — and this results in the discretization distance in time direc- tion being rougher and also influencees the switching strategy between processing direction in an algorith- mic solution. 457 I hope that this paper could contribute to the discus- sion of mathematical principles , methods, and back- ground in modern mapping techniques and data base modelling. References [1] Foerstner,W.: Objektmodell fuer Fernerkundung und GIS, Jahrestagung der DGPF, Cologne, 1991 [2] Hahn,M.; Pross,E.: Bildzuordnung nach dem Variationsprinzip — ein Vergleich mit Kleinste- Quadrate-Methoden, Zeitschrift fuer Photo- grammetrie und Fernerkundung 4(60), pp. 116- 123, Karlsruhe, 1992 — wo à Leberl,F.: The Promise of Softcopy Photo- grammetry. In: Ebner, Fritsch, Heipke (Eds.): Digital Photogrammetric Systems, Wichmann, Karlsruhe 1991, pp. 3-14 [4 —À Novak,K.: Real-Time Mapping Technology, In- tern. Archives of Photogrammetry and Remote Sensing, Vol. 29-2, Washington 1992, pp. 569-575 [6] Mueller,B.; Hahn,M.: Parallel Processing — The Example of Automatic Relative Orientation, In- tern. Archives of Photogrammetry and Remote Sensing, Vol. 29-2, Washington 1992, pp. 623-630 [6] Poggio, T.; Torre, V.; Koch,Ch. (1985): Computa- tional Vision and Regularization Theory, Nature 317, pp. 314-319 [7] Pross,E.: Describing Digital Photogrammetry by Functional Analytical Methods, Intern. Archives of Photogrammetry and Remote Sensing, Vol. 28- 2, Dresden 1990, pp. 336-344 [8] Pross,E.: Digitale Komponenten von Fernerkun- dung, Photogrammetrie und Kartographie inner- halb der Geoinformatik sowie deren Beschreibung durch funktionalanalytische Mittel und Metho- den, Habilitation, Dresden 1991 [9] Pross,E.: Die Bedeutung der Funktionalanalysis bei der Integration von Geowissenschaften fuer Umweltaufgaben, Veroeff. Zentralinstitut fuer Physik der Erde. No. 118, Potsdam 1991, pp. 353-362 [10] Pross,E.: Importance of Modern Mathematical Methods for the Digital Photogrammetry, Intern. Archives of Photogrammetry and Remote Sens- ing, Vol. 29-2, Washington 1992, pp. 369-373

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