Characterizing Geometric Distortion of the Lunar Reconnaissance Orbiter Wide Angle Camera

Details Characterizing Geometric Distortion of the Lunar Reconnaissance Orbiter Wide Angle Camera Characterizing Geometric Distortion of the Lunar Reconnaissance Orbiter Wide Angle Camera

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p41b1608s&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #P41B-1608

Physics

[1294] Geodesy And Gravity / Instruments And Techniques, [6250] Planetary Sciences: Solar System Objects / Moon, [6297] Planetary Sciences: Solar System Objects / Instruments And Techniques

Scientific paper

Each month the Lunar Reconnaissance Orbiter (LRO) Wide Angle Camera (WAC) provides 100 m scale images of nearly the entire Moon, each month with different range of lighting conditions [1]. Pre-flight calibration efforts provided a baseline for correcting the geometric distortion present in the WAC. However, residual errors of 1-2 pixels existed with this original model. In-flight calibration enables the derivation of a precise correction for geometric distortion to provide sub-pixel map projection accuracy. For the in-flight calibration, we compared WAC images to high-resolution (0.5 - 2.0 meter scale) images provided by the Narrow Angle Camera (NAC). Since the NAC has very narrow field of view (2.86°) its geometric accuracy is well characterized. The additions of the WAC-derived 100 m/pixel digital terrain model (GLD100) [2] and refined ephemeris provided by LOLA [3] have improved our efforts to remove small distortion artifacts in the WAC camera model. Since the NAC field of view is always in the same cross-track location in the WAC frame, NAC and WAC images of the same regions, under similar lighting conditions, were map projected. Hundreds of NAC (truth image) and WAC images were then co-registered using an automatic registration algorithm in ISIS [4]. This output was fed into a second ISIS program (fplanemap) that converted the registration offsets to focal plane coordinates for the distorted (original) and undistorted (corrected location derived from the truth image) pixel [4]. With this dataset, offsets in the WAC distortion model were identified and accounted for with a new 2D Taylor series function that has been added to the existing radial model. This technique improves the accurate placement of each pixel across the sensor in target space. We have applied this correction to the 643 nm band and will derive the coefficients for the remaining bands. Once this study is complete, a new camera model, instrument kernel (IK), and frames kernel (FK) will be released though NAIF [5] and USGS.

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