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DIGITAL MAP REVISION IN A HYBRID GEOGRAPHIC
INFORMATION SYSTEM
Eugene Derenyi and Chee Hua Teng
Department of Surveying Engineering
University of New Brunswick
Fredericton, N.B. Canada
COMMISSION IV
ABSTRACT
It is advantageous to perform the updating of digital maps directly in a geographic information system (GIS). Through the research
and development efforts at the University of New Brunswick, the Computer Aided Resource Information System (CARIS) has been
equipped with an integrated digital image/map display and with orthoimage generation capabilities. Thus, map revision can be
performed by on-screen digitization. Digital elevation models or piecewise rectification are used to correct for the relief
displacement. Three map revision schemes were devised and then tested on 1:50 000 and 1:10 000 scale maps.
KEY WORDS: Map revision, Orthoimage, GIS, Rectification DEM, Registration, Integrated system.
1. INTRODUCTION
In the 1980s, imagery acquired by photographic and
electronic sensors was utilized in a distinctly different
manner. Photographic camera products were handled in
hard copy form. Quantitative analysis was performed in
various photogrammetric restitution instruments, where
graphical and digital map manuscripts or orthophotos were
produced. Qualitative information extraction was performed
by visual interpretation. Data acquired by non-photographic
sensors were mostly handled in digital form and evaluated in
stand-alone digital image analysis systems. The results were
then recorded on hard copy outputs. This decade was also
marked by the proliferation of geographic information
systems (GISs). Most of them were established by
digitization of existing hard copy maps.
By the turn of this decade, GISs were widespread and firmly
established; the conversion of hard copy images into digital
form has become affordable and digital, soft-copy
photogrammetry began to evolve as a viable alternative to
analogue restitution instruments. It is imperative that the
revision and updating process of maps and resource
inventories stored in GISs reflects these new developments.
The updating of a GIS can be accomplished ineither off-line
or on-line mode. Off-line means a data capture in a device,
such as a stereoplotter, digital image analysis system or an
optical transfer scope, which is not an integral part of a GIS
workstation. On-line means that the revision takes place in
the GIS workstation itself, using digital images. This
approach requires a hybrid GIS, which has both vector and
raster data handling capability. The Computer Aided
Resource Information System with Raster Image Extension
(CARIS/RIX) is such a system.
CARIS is a GIS marketed by Universal Systems Ltd. of
Fredericton, N.B., Canada, while RIX was developed at the
University of New Brunswick [Derenyi, 1991]. RIX
supports the superimposition of vector data on a raster image
backdrop, on-screen digitization, image classification,
analytical photogrammetric operations and a variety of
image processing and geometric registration tasks in
interactive and batch mode.
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Three map revision schemes were developed and tested in
this environment:
* piecewise rectification,
* DEM corrected tracing, and
* digital orthoimage tracing.
All three schemes are applicable to monoscopic images.
2. MAP REVISION SCHEMES
2.1 Piecewise Rectification
This scheme is based on the assumption that all inherent
distortions including the relief displacement of an image, can
be reduced to an acceptable level by a two-dimensional
transformation. This assumption is only valied in
subregions of an image, where the magnitude of the relief
displacement is below the tolerance set by the map accuracy
standards. It is also assumed that the image and the map
files are in a reasonably good registration.
The residual mis-registration errors evident in subregions of
an image, caused by deficiencies in the data used for the
registration and by the neglected topographic effect, is then
corrected by localized incremental transformation. In this
process the analyst interactively improves the map to image
registration by matching well-defined points and features
within a small segment of the data surrounding the area of
interest. It is done by incrementally translating, scaling,
rotating and skewing the map (vector) to the image (raster).
Although the transformation parameters are operated on
sequentially, their effects are accumulated to form an affine
transformation. Once a satisfactory registration has been
achieved, the digital map file can be updated by digitization
and editing in the image display. The inverse transformation
is then applied to the coordinates of the new map objects, to
register to the original map.
This scheme is, in fact, the digital emulation of the technique
used in Zoom Transfer Scopes. It is fast and simple. By
temporarily warping the map to the image, the lengthy
resampling operation of the raster data is avoided. This
scheme is especially useful when changes in the planimetric
content of the maps are concentrated in localized areas of the
image.