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A New Laboratory of Spatial and Planetary Sensor Networks
Participants
PI:
Dr. Rongxing Li, CEEGS, The Ohio State University
Co-PIs: Dr. Hakan Ferhatosmanoglu, CSE, The Ohio State University
Dr. Kaichang Di, CEEGS, The Ohio State University
Collaborating Institutions/Organizations:
Optical Information Systems, German Space Center (DLR)
Machine Vision Group, JPL/NASA
Space Science Institute, Boulder, Colorado
Dept. of Civil and Environmental Eng., Lehigh University
Dept. of Mechanical Eng., Worcester Polytechnic Institute
Timeline
October 2004 - September 2007
Project Overview
A new
Laboratory of Spatial and Planetary Sensor Networks will be established at
The Ohio State University as a center of excellence in development of sensor
networks, sensor data processing, and applications in engineering sensing and
planetary explorations. The Laboratory should be a platform for attracting
large interdisciplinary research grants from external funding agencies.
Based on our current success of funded research in sensor technology by NASA
(Mars, $1.7M) and NSF (Spatial sensing, $1.2M) in last 5 years, the following
two interdisciplinary projects have been proposed under the new
infrastructure of the Laboratory of Spatial and Planetary Sensor Networks:
1) NASA payload/instrument proposal “MPS (Mars Panoramic Scanner) for
MSL (Mars Science Laboratory) 2009 and/or future Missions”, external proposal
budget: $15 million for 8 years, and
2) NSF proposal “A Smart Sensor Network for Intelligent Structural
Analysis in Earthquake Engineering”, external proposal budget: $3 million for
5 years.
Dr. Ron Li (PI) is a Participating Scientist of the current MER (Mars
Exploration Rover) 2003 Mission. He is a member of the NASA Mars Geodesy and
Cartography Working Group and a collaborator of the Mars Express Mission’s
HRSC (High Resolution Stereo Camera) Photogrammetric and Cartographic
Processing Working Group. Dr. Li was recently awarded a NASA Mars Technology
project for long range autonomous rover localization for MSL 2009 mission and
beyond. He was a member of several NSF grant review panels of Engineering
Directorate and Computer Science and Information Directorate. Dr. Li has been
working with Dr. Ferhatosmanoglu of CIS/OSU in data compression and spatial
sensors. They closely worked together to develop the NASA and NSF proposals
at both conceptual level and detailed deign level. OSU, JPL, Washington
University in St. Louis, and Space Science Institute have been closely
working together on the MER 2003 mission and mapping method development. OSU
and German Space Center (DLR) collaborated in processing the earlier HRSC
imaging data. OSU, Lehigh University and Worcester Polytechnic Institute
teams have been working together to design the Intelligent Sensor Network for
Earth Quake Engineering. The PI and Co-Is’ working relationships are active
and healthy. They form a critical mass for building this interdisciplinary
laboratory and for the two NASA and NSF proposals to be submitted.
The OSU large interdisciplinary grant will be used to prepare the two NASA
and NSF proposals totaling $18M and to conduct primary investigations that
are necessary for submission of the proposals.
We expect that both proposals will be
awarded at their first or later submissions, particularly the Mars mission
payload instrument one.
MPS Concept
The MPS is an innovative imaging
system which is capable of providing high-quality multi-spectral stereo
panoramas to support the scientific investigations in future Mars landed
rover missions as well as in Earth applications.
The MPS uses linear array cameras as the imaging device and applies an
off-axis rotation mechanics. It has the following advantages:
1) MPS produces a
smooth panorama that overcomes the gaps and seams. In addition, it maintains
homogeneous
brightness and contrast throughout the
entire panorama.
2) The data redundancy
as well as the additional rover operation time can be saved for other science
explorations.
3) The linear CCD
arrays take their panoramas of multiple bands simultaneously. Thus, MPS will
greatly reduce
the time for multi-spectral imaging.
4) The stereo vision
capability and efficiency can be improved with the features of the stereo
panoramas acquired from
MPS’s specific layout of the stereo
cameras.
Development Summary
We have built a prototype of the MPS that uses a color linear array camera
with RGB channels. In addition, we have developed software to integrate the
control of all the hardware components. A future version of the system will
include multi-spectral channels such as VNIR (visible-to-near-infrared) and
SWIR (short wavelength infrared).
This system, able to run on a 12V storage
battery, can be operated outdoors. To date, we have made several field tests
to test the whole system, including both hardware and software. The following
two panoramas were acquired in two of these field tests.

Panorama taken from the roof of
Bolz Hall at The Ohio State University

Panorama taken
in the desert near Reno, Nevada
Publications
Li,
R., Y. Lin, K. Di, and B. Wu 2008. A New Ground-based Stereo Panoramic
Scanning System. The XXI Congress of the International Society for
Photogrammetry and Remote Sensing, Beijing, China, July 1-11, 2008, 5 p.
For more information, contact Dr. Rongxing
Li, li.282@osu.edu
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