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:: [Tuesday, June 7, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session C-1 WG II/1 - Real-Time Mapping Technologies - Applications]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: Precise Georeferencing and Classification of Airborne Pushbroom Multispectral Imagery D. Cosandier, M.A. Chapman and P. Gong

Document type:: Monograph

Structure type:: Chapter

Le comte S listes comté de -S de ce mps réel jlobal et esses en étée par 'oupement nées des raire de réciable faisant Sur le ristiques et leur lissement Precise Georeferencing and Classification of Airborne Pushbroom Multispectral Imagery D. Cosandier, M.A. Chapman and P. Gong Department of Geomatics Engineering The University of Calgary 2500 University Drive N.W. Calgary, Alberta Canada, T2N 1N4 Tel.: (403) 220-5834; Fax: (403) 284-1890 ABSTRACT Multispectral image data are finding increased application in areas such as environmental impact assessment, forest inventory management and change detection. A basic requirement for these and other applications is the need for precise georeferencing and classification. These requirements must be met in order for the data to play an effective role when integrated with other data types in geographic information systems (GIS) and decision support systems. This paper outlines a mathematical model which has been developed and implemented in software for the georeferencing of airborne pushbroom imagery. The current formulation incorporates auxiliary navigation data, particularly GPS and inertial navigation system (INS) data, for interpolating position and attitude information related to the imaging sensor exposure stations. Using the precisely georeferenced images, the classification of scene details is carried out using hybrid algorithms which have been tailored for specific applications. Results for test data sets are presented which illustrate the effectiveness of the georeferencing algorithm as well as the reliability of the classification methodology. This research was conducted under the sponsorship of a Natural Science and Engineering Research Council Strategic Grant. Proposed for ISPRS Symposium, Commission II Session: Real Time Mapping Technologies Ottawa, June 1994 61

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