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phase of this research effort is the interfacing of FOCIS-derived com
puter data with the U.S. Forest Service's computerized Wildland Re
source Information System (WRIS). However, the data formats of the two
systems are incompatible. POCIS produces data in raster-image format
which is stored in a matrix-like array, and WRIS requires vector-
polygon data in which polygons are formed by the linking of nodal
points. A raster-to-vector conversion technique has been developed to
facilitate the merging of FOCIS products into WRIS format.
Post-Processing Techniques. The primary product produced by FOCIS is a
timber stand or stratum map which is the result of two independent
steps. In the first step, regional forest types are predicted iron
field calibrated ecological models which require the use of digital
terrain data. The second step involves classifying Landsat and texture
data into tree height and density classes. While spatial contiguity
is an irrportant criterion for assigning labels to individual timber
classes, no spatial contraints are imposed on the Landsat based clas
sification process. As a result, the final classification can exhibit
high spatial variance ("noise", "speckle"). Several approaches de
signed to reduce high spatial variance and meet the ten acre timber
stand size required by the USFS have been investigated. These tech
niques include: 1) Davis and Peet's (1976) "minimum area" spatial
filter modified to accept apriori class conversion weights: 2) The
'IBIS' procedure which is actually several variations involving image
magnification, a modal filter, and individual class conversion weights;
and 3) A voting rule technique for labeling existing manually delin
eated timber stand maps (Woodcock, et al., 1980).
Post-Processing Issues. There are two issues which need to be con
sidered in selecting a post processing procedure. The first issue is
whether diagonal pixel connections are to be allowed, and the second
issue relates to a comprehension of the spatial displacement and
class frequency histogram change that occur as a result of post
processing.
The diagonal issue is of concern when classified image data is to be
converted into vector format. Diagonal connections permit polygons to
effectively across over each other and occupy a cannon location
(figure 1). This occurrence is an artifact of using conceptually
square pixels in image processing, and results in cctnplex polygonal
maps that can be misleading and difficult to use. The additional use
of a "post-thinning" algorithm to smooth the pixel "stair-step" effect
enhances the location of the diagonal cross-over points by preserving
geonetric shapes at that point, and often results in an oddly appear
ing map of mixed round and angular shapes.
If the final map product is to be left in image format, then the diag
onal issue will probably not be of great concern. Conversion to vector
format for incorporation into polygonal geographic information systems,
however, may result in difficulties with polygon overlay, area measure
ment, labeling, and visual interpretation. Depending on the applica
tion, the vector geographic information system, and the alternative,
diagonal connections may be acceptable. For the FOCIS project, diag
onal connections were permitted, and the modified Davis and Peet
spatial filtering technique used. It is the purpose of this paper to
report the methods and alternatives that were investigated in the
course of selecting an appropriate post-processing technique.