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Table 1: Spatial and Spectral Attributes of Features
(after Avery and Berlin, 1985)
Attribute
Comments
Size/ area
Both relative and absolute size are
important. Relative size is strongly
scale dependent. Absolute size can
be measured by counting pixels.
Shape
Sometimes sufficient to identify a
feature, but difficult to calculate. A
measure of compactness could be
used as a shape measure.
Colour
Typical of certain objects but
depends strongly on season, angle
of illumination etc. Straight-forward
to extract from the image.
Pattern
Spatial arrangements of objects are
especially useful in identifying
man-made features.
Texture
Refers to the coarseness or
smoothness of features, but is
strongly scale dependent.
Site/
association
Important for contextual
information, but can only be
defined in conjunction with
already identified features.
Manual image interpretation usually proceeds
systematically from feature category to category, as
outlined above, and within these categories in a
hierarchical fashion from more general
descriptions to more specific details (Estes, 1977).
Part of such a hierarchy is shown in Figure 2. In
order to allow for a straightforward integration of
interpreted features into a GIS, the automated
system should solve its tasks in an equally
systematic way. Maintaining a hierarchy is
especially important, because spatial attributes, such
as relative size, texture and pattern are strongly
scale dependent.
Urban
Residential Commercial Industrial Transportation
main road subsidiary road
Figure 2: Image Interpretation Hierarchy
Comprising Four Levels
3.2 User Requirements
In order to facilitate the interpretation of remote
sensing data, an expert interpretation system
should be able to extract accurately and consistently
resource features belonging to the six categories (a)
to (f) outlined in Section 3.1. When prompted by
the user, it should be able to interpret an image
according to:
(a) Feature (e.g. identify all roads; is feature X a
road),
(b) Feature attribute (e.g. show all small features),
(c) Feature location (e.g. what is the identity of the
feature at location x, y),
(d) Relationships between features (e.g. what
features are next to feature X),
(e) Combinations of these queries (e.g. identify all
small features next to feature X).
Quality control, or an assessment of the accuracy of
information, is an important aspect whenever data
are integrated into a GIS data base. It is therefore
necessary to have a confidence value associated
with an identification, which gives an indication of
the reliability of an interpretation. In addition, data
validation procedures should be available so that
invalid data can be rejected by the system, before the
interpretation process begins.
One reason expert systems have become attractive
for the solution of complex tasks is their ability to
interact with the user by using a human-like
interface to explain system reasoning. A successful
image interpretation expert system should
therefore possess at least an explanation facility and,
if possible, a natural language user interface.
Interactive screenwork is one of the most popular
and user friendly methods of image manipulation
and analysis. The user of an automated image
interpretation system should be able to select
regions by placing a cursor on the image. Similarly,
results should be displayed on the screen. To
facilitate the integration of these results into a GIS,
the identity of the features, their coordinates, and
any other relevant information should be stored in
a compatible data structure, e.g. as map overlays,
which correspond to the data categories outlined in
Section 3.1 above.
3.3 System Requirements
Modularity to allow easy expansion of the system,
and portability to permit transfer between
mainframe and microcomputers were selected to be
the most important system design requirements.
Image interpretation is a complex and many faceted
topic, and it was considered impractical to develop a
multi-purpose interpretation system in one design
phase. If a prototype system with a limited problem
domain is to be of any future use, then it has to be
expandable to a wide variety of applications.