]-size and 
el are ar- 
semblance 
entities in ] 
' have de- [ ] 
1 analysis 
spatial re- 
ions iden- 
RAG data 
  
10000 P Eee EH epe TG 
r 1 
E 1 
1000 
TT] 
that clut- 
er regions 
iat clutter 
er region, 
the land- 
| result in 
at part of 
on which 
, spatially 
ly be con- [ 
uld be re- 
these two 
jon of re- 4 
5, for ex- 
ılights the Region Area (m-sq) 
and, more 
100 
Frequency Occurrence 
10 + 
  
bb 
10000 
  
  
  
  
  
ie number 
lationship Figure 5: Frequency distribution of the property area for the road regions in the classified image. 
g plot, for 
int the re- 
A similar 
lding and 50.0 
ot presen- 
it most, if 
gions rep- 
likelihood 
paratively 
  
  
00b---:o or 
  
er regions 
arcels, be- 
nulti- pixel 
The prob- 
threshold 
ions. The 
derivative 
-50.0 
T 
  
ation 1): 
T 
Frequency Gradiant (derivative) 
-100.0 
(1) 
he spatial 
s typically ! 0 7 NE 
| of parcel -150.0 7 0850 ant 14 100 
and irreg- 1 10 
than 50m? Region Area (m-sq) 
which the 
m being a 
  
  
es dod 
1000 10000 
  
  
  
on of area Figure 6: Derivative of the frequency distribution of the property area for the road regions in the classified image. 
more com- 
entified as 
e first sta- 
1, the area 
and veget- 
spectively. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 319