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Stereo Panoramic Imager
The stereo panoramic imager (SPI) cameras provide high resolution science imagery and allow 3D reconstruction
of site geometry. They are used to plan local traverses and science operations. The
cameras are mounted on a pan-tilt unit (PTU) atop a 2.5 meter mast near the front of
the robot, allowing them to view the surroundings in any direction except near the
sides and rear of the robot, where their view is occluded. Each camera returns a 1280
x 960 color image, with a horizontal field of view of 21.1°, corresponding to a
footprint of about 1 m² when pointed down at areas adjacent to the robot. The angular
resolution is similar to that of the human eye.
In selecting the SPI camera design before the first Atacama expedition, the main
driver was our tight schedule, which led us to borrow as much as possible from an
existing design, in this case the Pancam developed for the Mars Exploration Rovers
(MER).
| | MER Pancam | Hyperion SPI |
| Imager |
1024 X 1024 CCD 12 x 12 µm pixels 12 bit (B/W) 400-1100 nm |
1280 X 960 CCD 4.65 x 4.65 µm pixels 16 bit (color) 400-700 nm |
| Optics |
38 mm focal length 16.8 x 16.8° field of view 400-1100 nm filters (8) |
16 mm focal length 21.1 x 15.9° field of view No filter wheel |
| Resolution |
0.28 mrad/pixel |
0.28 mrad/pixel |
| Mount |
30 cm seperation 1° verge |
30 cm seperation 1° verge |
| Pointing |
+/- 180° azimuth (2° accuracy) +/- 90° elevation(1° accuracy) 0.1° pointing knowledge |
+/- 180° azimuth (2° accuracy) +/- 45° elevation(2° accuracy) 0.1° pointing knowledge |
SPI returned two major data products: panoramas, each consisting of a
large number of low-resolution images suitable for stitching into a mosaic,
and targeted high-resolution images.
| | Panorama | High-res Image |
| Horizontal FOV |
+/- 180° @ 10° steps |
21.1° |
| Vertical FOV |
-45 to +15° @ 10° steps |
15.9° |
| Number/resolution of images |
218 images @ 320 x 240 |
1280 x 960 |
| Data size (lossless compression) |
78 MB |
3.2 MB |
| Data size (JPEG) |
5 MB |
0.052 MB |
| Acquire time |
~10 min |
~30 s |
During the first Atacama expedition, the SPI system was the main window that the science
team had on the environment. SPI panoramas were used as a means to localize the rover in the context
of satellite data, as a menu of targets for further investigation (at scales ranging from
nearby rocks to sites hundreds of meters away), and as context for understanding the results
of the short-range sensors. High-resolution images were also called on for target selection and
context. SPI performed these functions adequately, but there were several problems that
need to be addressed, largely in the areas of calibration and reliability.
| Problem | Potential Solutions |
| Auto-exposure sometimes too short | Software control of exposure; use CCDs with wider dynamic range, bit depth |
| Irregular sticking in PTU servo | Design in greater margin with respect to the PTU weight limit |
| Varying light levels across panorama | Speed acquisition with wider FOV; calibrate between images |
| Misalignment of sub-images in panorama mosaic Feature-based image registration; locate one | Feature-based image registration; locate one camera nearer to PTU center of rotation |
| False colors (e.g., bluish tinge at low sun angle | Use calibration target to correct for lighting |
| Tunnel vision effect at edges of panorama subimages | Software correction based on lens model |
In the future, the FI and FM will be Hyperion’s main sensors for unambiguous life detection,
due to their higher resolution and ability to detect biomolecules. Because they were still in
an early development phase during year one, the SPI high-res images turned out to be the main
data the science team had for life detection, though they had not been designed for that purpose.
The most visible and accessible signs of life in the coastal range area we visited are
lichens present on the surface of rocks. Their presence or absence varies on the scale of tens
of meters. In some areas, they are found on nearly every rock. In others, they are completely
absent. Individual lichens are small, rarely covering an area larger than 50 cm². Their
coloration varies widely, from rare bright yellow and orange specimens to more common greens
and greys. Because most have subtle colors that are easily confused with greenish mineral
detritus, human judgment of their fine-scale morphology is critical for making an
unambiguous identification.
Those of us present in the field consider that, even if the rover had visited a lichen-rich
area, an unambiguous identification of lichens would have been unlikely given the quality of
high-res images (~ 1 mm resolution) provided to the science team. A simple way of understanding
this is the following: the SPI camera has angular resolution similar to that of the human eye.
Therefore, on a 2.5 meter mast, the features that can be resolved are similar to what a scientist
would see on the ground while standing up. But what was really needed was to pick up a rock and
take a close look at it. At the lower resolution, the lichens are indistinguishable from pitting on
the rock. Future iterations of the sensor suite will include close-up visible imaging capability
as a requirement, in addition to more specific fluorescence and spectrometer capabilities.
Given that during year two we will enforce severe bandwidth limitations on data returned from
the rover, we were interested to see how well JPEG compression maintained quality for the
high-res images. a factor of about 16 with respect to lossless compression. By eye, the
uncompressed and compressed images are indistinguishable. Of course, quality will be lower for
images that have edges with sharp contrast, but we were encouraged to see that most of the
desert images were well-suited to JPEG compression. In future work, we would also like to test
the performance of 3D stereo reconstruction with the compressed images.
The SPI was perhaps the most mature instrument in year one. Although many problems were
observed, they did not prevent SPI data from being the science team’s main window on the desert
environment. Some of the shortcomings of the data, particularly resolution, will be addressed
in year two by the integration of additional cameras. The SPI itself only needs minor changes
to aid in calibration, reliability, and usability.
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