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:: [Wednesday, June 8, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session F-1 WG II/1 - Real-Time Mapping Technologies - Automatic Orientation of Sensors]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: THE EXTERIOR ORIENTATION OF DIGITAL IMAGES BY ROAD MATCHING FAYEZ SHAHIN & KURT NOVAK

Document type:: Monograph

Structure type:: Chapter

THE EXTERIOR ORIENTATION OF DIGITAL IMAGES BY ROAD MATCHING FAYEZ SHAHIN & KURT NOVAK Dept. of Geodetic Science & Surveying The Ohio State University Columbus, OH 43210, USA Commission II, Working Group 1. KEY WORDS: B-splines, linear feature extraction, relational matching, automatic orienta- tion. ABSTRACT The ultimate goal of digital photogrammetry is to produce maps automatically from digital images. For that purpose, the exterior orientation of the photos is required. It establishes the correspondence between the image and ground coordinates. Most approaches only address the relative orientation of the images. This paper presents a general procedure for the automation of the exterior orientation, which can be used for real time mapping applications. This proce- dure takes advantage of a mobile mapping system (GPSVan) developed and implemented at The Ohio State University’s Center for Mapping. Various sensors collect information about the environment of highways from a moving van. A satellite (GPS) receiver mounted on the van determines the road alignment in the ground coordinate system. These alignments are math- ematically represented by cubic B-splines to serve as a 3-D model of the roads on the ground. Digital images covering the same area are processed to find roads automatically. The extracted roads are also represented by cubic B-splines to serve as a model of the roads in image space. By applying relational matching and tree search methods, the best match between the roads in the digital images and their corresponding 3-D model in object space can be found. Thus, the correspondence problem can be solved and the computation of the exterior orientataion is possible. This approach is extremely efficient for orienting satellite images and small scale aerial photos. Therefore, it has a great potential for real time mapping applications. 1. INTRODUCTION conjugate points or features in overlapping images. Several algorithms and techniques, In recent years it has been shown that sev- eral important photogrammetric tasks, like the relative orientation of images, the aerial triangulation, and the derivation of digital el- evation models, can be automated with very little or no human operator intervention. The main concern of solving these tasks automat- ically is to establish correspondence between 174 such as area based matching and feature based matching, have been used successfully to solve the correspondence problem between overlapping images [Schenk et al. 1991, Ack- erman 1991]. Another group of tasks, including the exte- rior orientation of images, the geo-registration of images ages, have tomation. essary in has to be spondence the object orientatio! to determ trol point: the image difficult pi ing the 3- points, wh age repres Is 1n rastel In photog: dence bet: tablished trol point cases, suck aerial pho! üfy contrc of the ima procedure by matchi: on the gro: ficient for scale aeria tential for During th ping syste mented by Ohio Stat tion about a driving on the veh alignment vak 1991]. model of 1 images of extract ro: roads on t] respondent and image matically.

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