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:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session J-1 WG II/2 - Hardware and Software Aspects of GIS - Part B]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: INTEGRATION OF REMOTE SENSING AND GIS. Peter A. Woodsford

Write comment:: Text parallel in englischer und französischer Sprache abgedruckt.

Document type:: Monograph

Structure type:: Chapter

1. INTRODUCTION The science of 'remote sensing' in its broadest sense has been developing since the 19th century with the invention of photography and the first aerial photographs taken from captive balloons. Throughout the 20th century, technological advances in a number of areas - the development of colour and infra-red sensitive films, aircraft and satellite platforms - enlarged the sphere of remote sensing with the development of applications such as mapping, geological exploration and meteorology making use of remotely sensed images. Remote sensing as it is currently practised, however, began with two major advances in technology - the launch of high resolution digital imaging systems (starting with Landsat-1 in 1972) and the development of minicomputers and image- display terminals in the 1970s. With these advances, image processing systems rapidly evolved. By the early 1980s, a typical system would have functionality for image input, geometric correction, classification (supervised and unsupervised), image enhancement, convolution, arithmetic functions (eg. band rationing) and principal components analysis. These would be performed as batch or interactive operations, with special frame- store hardware used for image display. The evolution continued throughout the 1980s, with an increased range of processing functions, data from new sensors (Landsat TM, SPOT, radar, airborne multispectral scanners), faster processors, higher resolution displays and user-friendly menu interfaces. Interfaces to vector data were provided by most systems, although with functionality largely limited to the overlay of vector data on imagery. Geographic Information Systems (GIS), however, have developed from three largely separate origins. The Canada Geographic Information System (CGIS) was first proposed in 1963 and was designed for overlaying vector polygons of resource information for applications such as land use assessment. A different approach to the same problem was adopted by the Harvard Laboratory for 384 Computer Graphics SYMAP system in the late 1960s, which performed overlay analysis with raster data. These systems were the precursors to the present-day systems designed primarily for data overlay. A second origin to GIS was the development of vector-based digital mapping starting in the late 1960s. Digital mapping systems have evolved to the state where many map production flowlines now use computer technology for the manipulation of data. GIS systems have grown from digital mapping systems by the addition of a relational database for the storage of attribute data and by the provision of analytical functionality. The vector data model that has become dominant in this strand of GIS development, because line maps were familiar to the first generation of GIS users, involved in applications such as property management and the utilities. Vector mapping systems allowed them to replicate, in digital form, their conventional methods of working. A third route for the development of GIS systems, also based on the vector data model, was by a similar evolution from the Computer- Aided Design (CAD) area. GIS systems from each of these three origins have evolved towards a common basic range of capabilities - input, display and manipulation of both vector and raster data, raster DTM handling, topological structuring of vector data, vector and/or raster polygon modelling and analysis, and storage of attribute data in a relational database management system. Most systems today have the ability to perform basic image handling tasks, such as rectification and display as an image backdrop. Some systems allow an image processing package to share the same screen as the GIS, giving access to both image processing and GIS functionality. In addition, modern GIS system architectures can handle large raster and vector datasets in a seamless manner, so image processing can escape the constraints of image scenes and map data can escape the fetters of sheet boundaries. 2, €UI SE It is us divisio occurr e The fun a re date dra mox up’. con plot unc diff toge e Rer fun rem infc or pro labe 'Col vec obj ’roe Ren con whe ana rec loc: may pro * His tecl disc tect tect was con disc byl for

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