International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
operations
A set of rotation, scaling & translation factors were calculated
based on least square method technique, which will transform
original feature to the transformed feature. These parameters
may be modified to take higher order transformation. But using
higher order will allow bending of objects (which spans across
several triangles), thus improving relative accuracy but
geometric errors gets introduced. The original object is
transformed with these rotation, scaling and translation
parameters, to re-establish original geometry. :
2.4 Updation
The updation of geo-data requires the detection of changes
between up-to-date geo information and the existing data set. In
case of manual updation of the data, the operator decides if the
stored object has changed. The automatic updation process
requires a similar decision, which means that the extracted
object have to be compared with the stored object. As the PAI
considers the latest orthophoto or stereo model is concerned,
manual changes are required to be captured for new objects. The
updation is carried out using unit area over which PAI operation
is carried out as tile. For obtaining absolute accuracy for the
changes on the ground the following checks are required.
1. Nodes are not breaking in the tile edge.
2. There should not be any duplicate tile edge beneath
the original tile.
3. UPDATION AND POSITIONAL ACCURACY
IMPROVEMENT FOR 3 DIMENSION
3.1 Preparation
Another innovation developed at KIL made use of existing
scanned paper maps for production of updated new maps in 3
Dimensions using stereo images.
The existing stereo aerial images are used for obtaining digital
terrain information by automatic tetrain extraction. An in-house.
program was developed to obtain the height information (from
digital terrain model) of corresponding plan metric points in the
vectorized maps. The height information is obtained from
automatically generated digital terrain model as TIN data of the
corresponding stereo images. Thus the Automatic program
merges Z value from DTM data with X, Y values from 2D
digitised file. 3D vector data so obtained is now ready for
Positional Accuracy Improvement and updation.
Old Vector
Data s
qiue rag
Figure.5, Links are provided for shifting the vector, black
features are old vector data and green circles show the shift
required for Positional Accuracy Improvement
3.2 Applying PAI
After the links are placed and triangles are generated the PAI
tool does the Positional Accuracy Improvement over 3-
dimension. The red marks show the displacement required with
respect to old vector data.
A typical out put of the Positional accuracy improvement of
vector data is shown below.
Figure.6, Transformation before (features in black) and after
PAI (features in magenta), desired shift or links (in red)
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