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

"m in the late analysis with je precursors led primarily development tarting in the ystems have many map © Computer of data. GIS tal mapping nal database and by the y. The vector inant in this se line maps tion of GIS h as property tor mapping le, in digital of working. ient of GIS data model, e Computer- three origins asic range of nanipulation raster DTM f vector data, ydelling and e data in a ystem. Most erform basic ification and me systems > to share the cess to both tionality. In itectures can atasets in à cessing can nes and map : boundaries. 2. CURRENT STATUS OF REMOTE SENSING/GIS INTEGRATION It is useful to consider briefly why this strong division of vector and raster processing has occurred: e The raster and vector data models are fundamentally different - one storing data as a regular array of values, the other storing data as a series of points, with implicit lines drawn between them (early vector data models were often simply a series of 'pen up’, ’pen down’ and 'move to XY' commands used for controlling a pen plotter). Even today, there is considerable uncertainty over how data held in these different models should be analysed together. e Remote sensing and GIS analysis are also fundamentally different processes. With remote sensing, the source data is spectral information (i.e. reflected radiation in one or more spectral bands), and the main processing tasks are concerned with the labelling of each pixel such as 'wheat' or 'coniferous woodland'. With GIS, however, vector data usually represent the edges of objects, whose identity is known such as road edge’ or "woodland boundary’. Remote sensing is therefore primarily concerned with the production of data, whereas GIS is primarily concerned with the analysis of data for applications such as record management, route finding or locational analysis (although the analysis may well incorporate datasets derived by processing of remotely sensed data). * Historically, remote sensing and GIS technologies developed as separate disciplines for both cultural and information technology (IT) reasons. Information technology, in particular display hardware, Was strained to its limits to service the conflicting requirements of the two disciplines and so they grew up conditioned by bespoke environments, e.g. frame buffers for image processing. Computer hardware 385 and software advances, stemming from RISC workstations, dramatic improvements in affordable memory and storage and Open Systems standards, have resulted in an IT environment capable of supporting both disciplines. The first generation of systems to exploit this have been in fact hybrids, with combined display of imagery and vector data, but discrete environments for the two sets of functionality. e Due to the cultural separation of the two disciplines in the past, there has been a dearth of compatible data exchange formats. However, a number of recent trends in remote sensing and GIS have been influential in bringing the two disciplines closer together: e Environmental GIS applications are increasingly using data derived from remotely sensed images. These data may be an update or enhancement to a map (such as the mapping of forest boundaries) or the results of an image classification exercise. e Remote sensing analysis is increasingly using GIS data. Examples of this include the overlay of vector data for presentation and location, and the use of DTMs for terrain correction of imagery and perspective visualisation. e The rapidly improving price/performance of computers now enables both GIS and image processing to use the same workstation. For instance, image processing systems do not need to use specialised hardware or displays, and a standard workstation used for GIS has the performance required for image processing (both in power for processing large volumes of data and the graphics display capabilities for 24 bit colour images). e The convergence of the two disciplines, the growing commonality of user requirements, and the beginnings of effective standardisation activities (de facto and de jure) are improving the situation on data compatibility and availability. In addition,

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