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:: [Poster Session 3-A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: NOVEL SOURCES OF CONTROL FOR AERIAL PHOTOGRAPHY A. P. R. Cooper, R. Swetnam and A. J. Fox

Document type:: Monograph

Structure type:: Chapter

les bureaux devient donc ortee de tous issociée à la ans avoir à udera à faire ie de barre à irs potentiels ogrammétrie el illimité. ignement du un probléme ammetry and lette, 1988. v Tool: The 167. 2. PC-Based s for Block ammetry and Redresseur Archives of S igital Image npany Inc, ry. PE&RS, NOVEL SOURCES OF CONTROL FOR AERIAL PHOTOGRAPHY A.P.R. Cooper’, R. Swetnam" and A.J. Fox British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, United Kingdom. "Department of Geography, The University of Edinburgh, Drummond Street, Edinburgh, United Kingdom. KEY WORDS: Photogrammetry, Block adjustment, Aerotriangulation, Shape-from-shading ABSTRACT Sparse survey control data have constrained large-scale mapping of the Antarctic Peninsula. Extensive aerial photography is available but photogrammetric techniques are difficult to use because surveyed points are very widely spaced. The presence of extensive snow-covered areas with insufficient surface detail to allow the topography to be followed in a stereo-plotter creates a further difficulty. In this study, control information was taken from various sources including georeferenced satellite images, surveyed points and airborne barometric surveys. A shape-from-shading algorithm allowed the elevation of snow-fields to be interpolated from barometric height information. These data provided control for the block adjustment of a series of aerial photographs. A horizontal accuracy of x60 m and a vertical accuracy of +15 m was achieved in a block of photographs containing only one conventionally surveyed control point. Such errors allow the construction of an internally consistent large-scale map for an area where inadequate control had restricted mapping to medium and small scales. INTRODUCTION Sparse control data and the presence of snow-fields with ^ insufficient surface texture for stereo-matching limit the usefulness of aerial photography in Antarctica. New control data are unlikely to be obtained because of the large areas : to be covered, difficult access and severe climate. These Alexander difficulties have limited the scope for large-scale mapping even in regions well covered by aerial photography. In coastal or mountainous areas of Antarctica the largest scale maps with extensive coverage are at 1:200,000 or 1:250,000. To improve the quality of mapping in Antarctica, m it is necessary to find means of using the aerial photography. This paper presents new techniques for creating sufficient control for a block of photographs that only contains one survey point. The study area is located in the north-east part of Colbert Mountains, Alexander Island, off the west coast of the Antarctic Peninsula (Fig. 1). +“ ANTARCTICA} - [] Colbert Mountains DATA The data used in this study are from four sources: 1) The study area contains one surveyed point in the British Antarctic Survey (BAS) triangulation network. This triangulation network was adjusted to fit Geoceiver positions acquired in 1975/76 (Renner, 1982). The residual RMS error after this adjustment was +11 m (Knight, 1986). 2) A Landsat TM image (scene ID 50719-12504 acquired on 18 February 1986) covers the area. It is one of a mosaic of images that was block adjusted to fit the BAS triangulation network by the Institut für Angewandte Geodäsie (IfAG), Frankfurt, using the method described in Sievers image for the effects of surface elevation, using a and others (1989). IfAG have corrected the coarse digital elevation model (DEM) based on Figure 1: Location map for the study area. 421

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