Talks and Poster Presentations (with Proceedings-Entry):

M. Attwenger, P. Dorninger, J. Otepka, G. Neukum et al.:
"Investigating Fluvial Topography Forming Processes Of The Martian Surface By Means Of Raster Based Geometry Analysis";
Poster: ISPRS Technical Commission Symposium, Goa, India; 2006-09-27 - 2006-09-30; in: "Symposium of ISPRS Commission IV - Geo Spatial Databases for Sustainable Development", (2006), 6 pages.

English abstract:
Recent Mars missions like ESA´s Mars Express (MEX) and NASA´s Mars Global Surveyor (MGS) capture the Martian surface at
high resolution and in 3D. For instance, the MEX instrument High Resolution Stereo Camera (HRSC) acquires images at a
resolution of up to 12m per pixel. Area based image matching within stereo pairs of HRSC images can be used to determine
numerous points of the Martian topography. The MGS instrument Mars Orbiter Laser Altimeter (MOLA) acquires surface points by
range measurement. Sophisticated methods enable the derivation of DTMs from such datasets.
Currently, geological investigations regarding the Mars are mostly based on human driven interpretation of images (e.g. captured by
HRSC/SRC on MEX, Mars Orbiter Camera (MOC) on MGS or THEMIS on Mars Odysee), photometry analysis (e.g. HRSC), and
measurements and 3D analysis of stereo pairs of images. If Digital Terrain Models (DTMs) are considered (e.g. HRSC, MOLA),
their interpretation often is reduced to the analysis of profiles derived thereof. Overall analysis of DTMs is rarely performed.
Raster based geometry analysis allows fast, efficient and automatic mathematical analysis of terrain models (e.g. computation of
curvature, exposition or slope). Hydrological analysis methods such as the detection of depressions, potential river lines and
watersheds, or the derivation of catchment areas are predestined to be realized in a raster based manner, as well. In this paper, an
approach for the implementation of hydrological analysis methods as systolic processes (i.e. the conditions of the cells of a DTM are
derived synchronously) is described. The visualization of the results is prepared by means of special filtering operations. Exemplary
applications on high resolution DTMs derived from HRSC images and comparisons to low resolution models derived from MOLA
points, are presented and discussed. Their applicability for geological analysis is stressed, as well.

DEM, DTM, Raster based analysis, Mars, HRSC, MOLA

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