The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
Object Name
It’s can be identify
It ’s can be extract
No
Sometime
Often
Always
Didn’t
Exist
No
Sometime
Often
Always
Didn’t
Exist
Watercourse
X
X
Cut
X
X
Embankment
X
X
Ridge
X
X
Sandy Dunes
X
X
Salt Flat
X
X
Rock
X
X
Qanat
X
X
Canal
X
X
Pit And Pile
X
X
Floodway
X
X
Table 10. Natural class
Object Name
It’s can be identify
It ’s can be extract
No
Sometime
Often
Always
Didn’t
Exist
No
Sometime
Often
Always
Didn’t
Exist
Waterfall
X
X
Small
Hydro. Eng. Structure
X
X
Large Water Bodies
X
X
Spring
X
X
River
X
X
Dam
X
X
Stream And Ditch
"x
X
Pool (to scale)
X
X
Pool (symbol)
X
X
Table 11. Hydrology class
Object Name
It’s can be identify
It ’s can be extract
No
Sometime
Often
Always
Didn’t
Exist
No
Sometime
Often
Always
Didn’t
Exist
Orchard
X
X
Single Tree
X
X
Woods
X
X
Row Of Trees
X
X
Cultivated Area
X
X
Grass Land
X
X
Bush Covered Area
X
X
Forest
X
X
Table 12. Vegetation covers class
5. CONCLUSION
As we saw in the tables of information content evaluation, the
IRS P5 stereo images evaluation result from the point of
geometric accuracy and information content of main object
such as roads, vegetation cover and some objects in building
class show these images have ability of 1:25000 scale maps
revision. For better objects identification and extraction for
some objects such as objects of vegetation cover class, we can
combine these images with multispectral images and obtain
better result. Also ability of stereo viewing, provide possibility
of better objects extraction such as wall, fence, bridge and also