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:: IDENTIFICATION AND LOCATION OF SIMPLE OBJECTS FOR REAL-TIME MAPPING Christoph Geiselmann [... Michael Hahn [...]

Document type:: Monograph

Structure type:: Chapter

IDENTIFICATION AND LOCATION OF SIMPLE OBJECTS FOR REAL-TIME MAPPING Christoph Geiselmann Michael Hahn RIB Bausoftware GmbH Institute of Photogrammetry Vaihinger Str. 151 Stuttgart University maaan 70567 Stuttgart / Germany P.O.B. 106037 70049 Stuttgart / Germany mee] ISPRS Commission II , Invited paper KEY WORDS: Classification, real-time mapping, invariant features, affine-invariance, colour image sequence, motion based segmentation, traffic signs EN ABSTRACT Systems for real-time mapping can be described like most information systems by components for recording, storage, management, analysis and presentation of the data. The recording and storage of data collected by positioning and imaging sensors is done in real-time. Up-to-date real-time is not fully achieved by the other system components. In particular the analysis of the images is often complex 1 and time consuming. In this paper, an investigation in the identification and location of simple objects is presented. As an example traffic signs recorded by a colour image sequence are used. As a by-product this study shows a possibility on how to reduce the user activity considerably in the process of creating traffic sign maps. The developed automatic procedure consists of the following steps: a motion stereo pair is used for image segmentation into a region of interest and in background. As a result a precise displacement —— vector field of this region is derived. The deconvolution of motion blur leads to a restoration of the image and prepares the image for further processing. Next the borderline of the region is determined — and affine-invariant features of this contour are determined. For interpretation the suitability and A separability of the features is of special interest. Finally, maximum likelihood classification with these —— features leads to the identification of object classes for the localized traffic signs. The reported exper- iments in this investigation are based on simulations and on real world scenes. isation e du 459

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