2 Map or navigation tool. Queries for image coverage usually
require the definition of a point (POI) or a region of interest
(ROI) A map-like representation of the area covered by a
dataset, can ease this task considerably. With the possibility to
move around and zoom in and out this map regions or points
can be defined by point and click operations. To visualize the
content of a database or the results of a query, one may also
overlay the geographical information with outlines and
information about any feature with a position or some spatial
extent. This can be data like images, data gaps, topographical
features and names, orbit data and many others.
3 Preview of data. To offer the user the possibility of
inspecting the data before actually placing an order, one may
have quicklooks or reduced versions of images available for
downloading. This feature can also save network bandwidth
since it avoids the download of unneeded data. Also for
copyright reasons it is often not possible to provide full
resolution images before payment is guaranteed.
4 Ordering data is the most important action which data
providers want users to do. Therefore it is always easy to use
this function, whereas distribution of data in most cases is done
the slow and traditional way by mailing a tape or CD-ROM.
2 EXISTING SYSTEMS
2.1 Stand alone software
As a marketing instrument and for user service data providers
have developed interface software to their archives and
catalogues. Early examples for this software were terminal
based with a commandline or menu interface. Some of these
products are still in use, even though newer versions with
graphical user interfaces or WWW-based counterparts are
available today. An example for this live cycle is the ISIS tool
from DLR. The graphical version of this tool is GISIS
(Graphical Intelligent Satellite Information System, Lotz-Iwen,
1995). It features all four components of such a system as well
as some additional highlights, like a thesaurus for geographical
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names. The navigation tool, which is based on a software
product form Xerox, provides a zoomable vector based map at
different levels of detail. GISIS is also a multi-catalogue system
and offers interfaces to different data sets and directories. Even
though this is one of today's most advanced systems, the
number of accesses has been almost stable over the past 15
months.
This example shows, that a user often avoids to install and
maintain dedicated software products for different data
catalogues, especially if one does not plan to use them
frequently. Compared to the previously described access
numbers of the IDN interface at GCMD, this clearly indicates,
that for the user acceptance of a catalogue, the ease of access
can be more important than the number of available functions.
Some other examples for special purpose systems are VISTA
(Visual Interface for Space and Terrestrial Analysis, Snyder,
1994) and the Arno project (Nativi, 1995). VISTA is very
special, since it supports a 3D vector representation of data like
spacecraft ephemeris, sensor positions and the surface of the
Earth.
2.2. WWW -based catalogue systems
Because of the reasons described above WWW-based image
information systems are playing an important role today. The
basic idea of the WWW was to present hypertext information
containing text and images stored in HTML files to user. Build
in hyperlinks allow easy navigation to other HTML documents
and access to other Internet tools like ftp and e-mail. This very
restricted set of functions is designed to present information to
a rather passive user. To implement interaction with the user all
user inputs have to be transmitted to the location of the WWW
server, where a new HTML file has to be generated according
to the user inputs and transmitted back to the user’s site.
The example of drawing a mark at the location of a mouse click
over an image displayed in an HTML document, shows the
resulting intensive network traffic. First the coordinates of the
mouse click have to be transmitted to the WWW server. The
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Fig. la: A few lines from the dump of a database table containing image names and positions. It is somehow easy to see that the
images are forming a row. Its much harder to see the overlap between successive images.
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Fig. 1b: Enlarged portion of a screenshot showing the positions of the images listed in Fig. 1a. The small overlaps are clearly visible.
198
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B1.-Vienna 1996
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