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

9. SUMMARY AND CONCLUSIONS After over 20 years of essentially separate development, remote sensing applications are beginning to recognise the advantages of integrating GIS datasets into image analysis. The integration of remote sensing and GIS has been the subject of one of the National Centre for Geographic Information and Analysis (NCGIA) research initiatives (Star et al, 1991). This has concentrated on topics such as data structures, parallel processing hardware environments and error analysis. Meanwhile, users attempting to integrate remote sensing with GIS have struggled on with inappropriate software, converting formats and 'integrating' data by displaying datasets on the same screen. The real advancements in the integration of remote sensing and GIS can only come with the development of integrated software environments where the display, interrogation, processing and analysis of raster and vector datasets is part of the underlying system design. A part of this process will be the definition of the processing functions that are needed to integrate data. This development process is underway at Laser-Scan where an object oriented GIS has been developed which integrates the display and analysis of vector, raster, DTM, remotely sensed and non-spatial data. REFERENCES: Faust, N.L., Anderson, W.H. and Star, J.L., 1991. Geographic Information Systems and Remote Sensing Future Computing Environment. Photogrammetric Engineering and Remote Sensing, 57 (6):655-668 Hinton, J.C. and Baker, J.R., 1994. Image classification and analysis in an integrated GIS. Paper to be presented at EGIS/Mari Conference, Paris, April 1994. Janssen, L.F., Jaarsma, M.N. and van der Linden, E.T.M., 1990. Integrating Topographic Data with Remote Sensing for Land-Cover Classification. Photogrammetric Engineering and Remote Sensing, 56(11):1503-1506 390 Janssen, L.F. and Middelkoop, H., 1992 Knowledge-based crop classification of a Landsat Thematic Mapper image. International Journal of Remote Sensing, 13(15):2827-2837. Jones, A.R., Settle, J., J. and Wyatt, B. K,, 1988. Use of digital terrain data in the interpretation of SPOT-1 HRV multispectral imagery. International Journal of Remote Sensing, 9(4):669-682. Pedley, M.I. and Curran, P. J., 1991. Per-field classification: an example using SPOT imagery. International Journal of Remote Sensing, 12(11):2181-2192. Sadler, G. J., Barnsley, M. J. and Barr, S. L., 1991. Information extraction from remotely sensed images for urban land analysis. Proceedings of EGIS '91, Brussels, Belgium, 2-5 April 1991, pp 955-964. Star, J. L., Estes, J. E. and Davis, F., 1991. Improved Integration of Remote Sensing and Geographic Information Systems: A Background to NCGIA Initiative 12. Photogrammetric Engineering and Remote Sensing, 57(6):643-645. KEY ABS] Desp orgar syste multi with In tl syste techr grapt Integ visual know One and ‘ speci of ge calcu only enter will. t visior has E peop how corp« realiz Appli minin comp super of (

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