International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004
Using the software Geomatic Studio v.4.1 by Raindrop, the
DEM was cleaned by points on clouds and a DSM was
generated. In Figure 2 the DSM in the Shaxi valley is shown.
Figure 1. Fals -VNIR scene (bands
The Shaxi valley is located in the black box.
Figure 2.
points on clouds.
5. CONCLUSIONS
In this paper an overview on the alternative models used for the
orientation of pushbroom imagery is given. Some of these
approaches rigorously describe the physical acquisition
geometry and are based on the collinearity equations. Other
methods describe the relationship between image and ground
coordinates through rational polynomial functions or affine
transformations, donít depend on the specific Ó and are mostly
used when the physical sensor model or the required geometric
134
parameters are not available. The model developed at IGP
belongs to the class of rigorous models and has the advantage to
be usable with a wide class of pushbroom sensors. The model
has been tested on different sensors with different geometric
characteristics. In the paper the application on SPOT-5/HRS
and ASTER have been briefly presented. In all cases, RMSE in
the CPs up to 1 pixel have been reached.
AKNOWLEDGMENTS
The author would like to thank the Institute for Spatial and
Landscape Planning, ETH Zurich for providing the ASTER
images and the object points location.
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