The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
Table 2. Assessment results of crater DTMs (crater diameter>8
pixels). DP : detection percentage compared with automated
verification and manual verification standards, BF : branching
factor, QP ; quality percentage. See equations in section 3.1
According to these assessment result, the resolution limit of 3D
crater extraction algorithms is radius >500m and depth <70m
with HRSC stereo images.
Finally to check the quality of the constructed crater DTM, a
few of them were compared with CTX (10m) stereo DTMs. The
method to build CTX is described in Kim and Muller (2007).
Even though the availability of such DTMs is very limited at
present, it provides a good insight into the reliability of the
crater matching system as shown in Figure 8 .
CTX 10m
DTM
a I
eiEOfm
-3202 -310'
CTX 10m
DTM
HRSC 20m
DTM orbit 2099
(r=0.98km)
a !
EIZEOKm
-3JGÏ
HRSC 20m
DTM orbit 2099
(r=0.41km)
A
/
Blue : CTX, Red: HRSC
DTM profile
Blue : CTX, Red: HRSC
DTM profile
Figure 8. The DTM comparison with CTX (note stereo height
difference inferred to come from the influence of illumination
angle)
4. CONCLUSIONS & FUTURE WORK
We showed an implementation of an automated and semi-
automated crater GIS construction. There have been several
previous studies on automatic impact crater detection
algorithms but we believe this is the first case to incorporate
crater detection algorithms into a practical crater GIS data
generation systems. As shown in the 2D GIS assessment, a
completely reliable and automated crater detection method is
not available yet. This is believed to be mainly due to the
accuracy of the verification method being insufficient. We
described the software tools for editing and merging to
compensate for any weakness in the construction of crater GIS.
Moreover, we demonstrated a comprehensive system developed
for the automated 3D crater DTM. The assessment shows that
the data fusion method produced reliable 3D information on
individual craters. The 2D crater GIS was produced over very
extensive areas including the whole of Iani and Elysium. It is
expected that the processing software will provide a very
powerful tool for research in surface dating and
geomorphological analysis. On the other hand, the general
approach to update the performance of this system will be
continuously explored through enhanced 3D construction
algorithms such as shape from shading. In addition, the
employment of HiRISE and CTX stereo data sets for creating
finer resolution 3D crater GIS data is now being explored to
allow finer-scale detail to be obtained for testing different
models of crater size frequency distributions and surface age to
be tested.
ACKNOWLEDGEMENTS
We thank STFC under grant PP/C502630/1 for supporting this
study.
Kim,
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