Full text: Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 
5. CONCLUDING REMARKS 
The flexibility of the GLP method has been shown here in a 
practical case concerning non-conventional satellite data. The 
versatility and effectiveness of the method had been previously 
demonstrated in previous works (Aiazzi, 1997a, 1997c, 1998), 
through extensive comparisons, both objective and subjective, 
with HPF and wavelets methods, carried out on Landsat TM and 
SPOT data. Comparisons with wavelet methods are not feasible 
for the present case, since to the best of our knowledge so far, no 
published schemes can properly handle a 5/3 scale ratio. In addi 
tion, the experiments reported here concern spectral enhancement 
and not spatial enhancement as in most of the literature. On the 
other hand, comparisons must be restricted among feature-based 
methods, since pixel-based methods (IHS, LHS and PCS) have 
been demonstrated to be poorer than the former methods almost 
one decade ago (Chavez, 1991; Pohl, 1998). Future efforts will 
be devoted to devise three-layers schemes, e.g. by adding a high- 
resolution panchromatic observation to the above test case. 
ACKNOWLEDGEMENTS 
This work was carried out under grants of the Italian Space 
Agency (ASI). 
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