PE&RS July 2019 - page 490

Conclusions
To solve the problems of large-area controlled seamless
DOM
production using
LROC NAC
images, a systematic method consist-
ing of two stages of data processing is developed in this study.
First, the
RFM
-based planar block adjustment is used to improve
the relative positional consistencies of the
LROC NAC
images to
the subpixel level and at the same time tie the
NAC
images to the
control source (
SLDEM2015
). Second, a
TPS
-based image registra-
tion is used to reduce the geometric inconsistencies between
two neighboring subarea
DOM
mosaics and ensures final
DOM
being seamlessly mosaicked throughout the entire area.
A high-resolution seamless
DOM
mosaic is produced with
the proposed two-stage method for the Chang’e-5 planned
landing area using 765
NAC
images. Consequently, the tie
point RMS errors are all approximately one-half pixel, show-
ing satisfactory geometric consistencies among
NAC
images.
The control point RMS errors were approximately one grid
cell size of
SLDEM2015
, which means that the produced
DOM
has been registered to
SLDEM2015
with high precision. After
DOM
registration with the
TPS
model, the planar precision is
mostly smaller than one pixel in the output
DOM
. The resul-
tant
DOM
mosaic, covering 49
°
–69
°
west longitude and 41
°
–45
°
north latitude, has an image size of 224 721 columns
×
44 945
rows with a ground sample distance of 1.5 m.
resolution
DOM
is of great importance for detail
cal and geological analysis of the Chang’e-5 lan
developed method is applicable to high-resolut
other large areas on the lunar surface using
LROC NAC
images.
Acknowledgments
This work was supported by the Key Research Program of
the Chinese Academy of Sciences (grant no. XDPB11) and
the National Natural Science Foundation of China (grant nos.
41671458, 41590851, and 41771490). We thank all those who
worked on the Planetary Data System archive to make the
LRO
imagery and
SLDEM2015
publicly available.
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Figure 9. Produced seamless
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mosaic of the Chang’e-5 planned landing area.
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