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 G-1 WG II/1 - Real-Time Mapping Technologies - Sensor Integration]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: INTEGRATING DIFFERENTIAL GPS WITH AN INERTIAL NAVIGATION SYSTEM (INS) AND CCD CAMERAS FOR A MOBILE GIS DATA COLLECTION SYSTEM El-Sheimy N. and K. P. Schwarz

Document type:: Monograph

Structure type:: Chapter

x erre ä données nées de iler dans 5 oblige données gnements ré. Une aide de rmation. ettre au érer les | la. U.S, 1 Change osant de emes de 1 Change inateur, auses et comprend ctés et e Earth X. Par nal sont n Earth créé le lito aux données ensuite réseau, lans des ent des es GCDIS INTEGRATING DIFFERENTIAL GPS WITH AN INERTIAL NAVIGATION SYSTEM (INS) AND CCD CAMERAS FOR A MOBILE GIS DATA COLLECTION SYSTEM El-Sheimy N. and K. P. Schwarz Department of Geomatics Engineering, The University of Calgary 2500 University Drive, N. W. , Calgary, Alberta, Canada T2N 1N4 ISPRS Commission II, WG II/1 KEY WORDS: Highway survey system, Sensor integration, Geographical information system (GIS) , CCD cameras, Inertial navigation system , Differential Positioning with GPS. ABSTRACT The creation of a Geographic Information System (GIS) for road networks requires large amounts of data which currently are obtained by manually digitizing existing maps with some update from conventional photogrammetric and surveying techniques. In order to collect digital data faster, the use and integration of digital sensors is required which work in kinematic mode, i.e. from a moving vehicle. The University of Calgary has developed a precise mobile survey system for road inventory and general GIS applications. The system integrates a cluster of CCD cameras, a GPS receiver, and an Inertial Navigation System (INS), to automatically collect data in a road corridor at velocities of 50 - 60 km/h and to store this data in a GIS system format. The updated GPS/INS information is used to geometrically correct the images collected by the CCD cameras which record all details along the highway within a corridor of about 50 m. The shutters of the cameras and the output of the INS system are synchronized by the clock of the GPS receiver. In this paper an overview of the sensor integration and the mathematical transformations required to convert the image coordinates into 3-D coordinates will be given. Also, some data storage, merging and manipulation problems will be addressed. Special emphasis is given to the contribution of each subsystem to the overall error budget of the derived 3-D coordinates which have been assessed using test results recently obtained. 1. INTRODUCTION During the last decade, the demand for GIS in management and design applications has greatly increased. The realization of a GIS in many application areas still suffers from data acquisition problems. To be of value to the user, a GIS must be updated regularly, so that the information in the data base correctly represents the real world. However, the acquisition of up-to-date GIS data by conventional survey techniques is prohibitive in cost and has therefore limited the applicability and usefulness of GIS to potential users. Described in this paper is an attempt to overcome this problem. A data acquisition system has been designed and implemented at The University of Calgary (U of C) that can be used to selectively update GIS data bases very quickly and inexpensively. The system integrates a cluster of Charged- Coupled-Devices (CCD) cameras, an Inertial Navigation System (INS), and satellite receivers of the Global Positioning System (GPS). Figure 1 shows the system in schematic form. The overall objective was the development of a precise mobile highway survey system that could be operated at a speed of 60 km per hour and achieve an accuracy of 0.3 m (RMS) with respect to the given control and a relative accuracy of 0.1 m (RMS) for points within a 50 m radius. This accuracy is required in all environments including inner cities, where a stand-alone GPS is not reliable. Sensor integration has been optimized to reach the requirements of the survey market. The data flow has been streamlined to facilitate the subsequent feature extraction process and transfer into a GIS system. The new system is named VISAT and derives its name from the fact that it utilizes Video images, an INS system, and the GPS Satellite system. For further details on the design of the VISAT system, see Schwarz et al (1993a) and El-Sheimy and Schwarz (1993); for the workstation design, see Li et al (1994). This paper gives an overview of the most important components of the VISAT system, discusses the underlying principle of extracting three dimensional (3-D) coordinates from the video images through the use of INS/GPS data, highlights some of the integration problems, and analyses results recently obtained in field and laboratory tests. 2. SYSTEM CONCEPT AND FUNCTIONALITY The hardware component of the VISAT system consists of three sensor systems, two ASTECH PXII GPS receivers, a LTN 90-100 strapdown INS, and two COHU 4912 CCD cameras. The GPS is capable of providing very accurate position and velocity under ideal conditions. However, such conditions do not often exist. Independent GPS navigation requires at least four satellites. To reach the accuracy required for the VISAT system, it has to be used in differential mode, e.g. using double differencing techniques. The major drawback of 241

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