The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
as the reference surface during noise reduction, the UCL DTM
matched well with the MOLA DTM in most of the cases.
Another finding was that there was a disparity between the
DLR V50 DTM and the MOLA DTM. Referring to the profile
between hi022 and h0103 (Figure 7, bottom), this kind of
difference occurred in the area of h0103. The initial
investigation revealed this was due to poor coverage of
intersection points in DLR V50 DTM (Figure 6, line #3
outlined in DLR V50 DTM). Although the point shortage also
occurred in the UCL DTM (Figure 6, line #3 outlined in UCL
DTM), this issue was improved due to the implementation of
noise reduction.
6. SUMMARY
The positive results demonstrate that a solution for automated
noise reduction can be an efficient method for refining Mars
DTMs produced from HRSC stereo imagery. Moreover, it is of
great potential to decrease the discontinuity between adjacent
DTMs. Due to these advantages, the proposed method will be
applied before performing geomorphological analysis and
geological investigations of Martian surface. It is interesting to
note that most of the errors detected were along the edges of the
orbital strips. The reasons for this are unclear but might have
something to do with errors in the image re-sampling to level 3.
ACKNOWLEDGEMENT
The authors would like to acknowledge Prof. Jon Mills and Dr.
Pauline Miller at Newcastle University for their support of
3DSurf program. The authors also would like to thank the
assistance from HRSC-CoI team, especially the PI, Prof.
Gerhard Neukum. STFC under grant PP/E002366/1 supported
this study.
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