Preliminary Remediation of Scattered Light in NEAR MSI Images

Li, Han; Robinson, M. S.; Murchie, S. L.

doi:10.1006/icar.2001.6745

Cited by 16 publications

(18 citation statements)

References 7 publications

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“…A detailed set of analyses and the development and testing of an image restoration algorithm are given Harris et al (1998Harris et al ( ) 1981Harris et al ( -1982 showing the data reduced to absolute magnitude using projected areas calculated from the NEAR sequencing software (triangles) and the same observations in units of reduced magnitude scaled to the absolute magnitudes by a multiplicative factor of −9.349 (circles). by Li et al (2002). In short, they demonstrate that the contaminants on the optics do not absorb in the MSI filters' wavelength region and that they are relatively stable against ablation (with no detectable time variability).…”

Section: Near Shoemaker Msi Observationsmentioning

confidence: 93%

“…This ensures that all light scattered from one pixel to adjacent pixels due to the scattered light problem described above is included in the calculation of the disk-integrated brightness. The extension by 40 pixels is based on the point-spread function analysis for the scattered light by Li et al (2002). The remaining eight areas are boxes surrounding the initial, central box.…”

Section: Near Shoemaker Msi Observationsmentioning

confidence: 99%

“…The images used were calibrated to absolute I /F values using the calibration software and algorithms described in Murchie et al (1999Murchie et al ( , 2002 and Li et al (2002).…”

Section: Near Shoemaker Msi Observationsmentioning

confidence: 99%

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Disk-Integrated Photometry of 433 Eros

Domingue¹,

Robinson

Carcich

et al. 2002

Icarus

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Section: Near Shoemaker Msi Observationsmentioning

confidence: 93%

Section: Near Shoemaker Msi Observationsmentioning

confidence: 99%

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Disk-Integrated Photometry of 433 Eros

Domingue¹,

Robinson

Carcich

et al. 2002

Icarus

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“…The left image is before PSF correction ing calibration. A similar strategy was applied to NEAR images to remediate PSF degradation due to contaminants on the imager's optics (Li et al 2002). The optimal filter deblurring algorithm can be presented as…”

Section: Response Uniformity (Flat Field)mentioning

confidence: 99%

The Mercury Dual Imaging System on the MESSENGER Spacecraft

Hawkins¹,

Boldt²,

Darlington³

et al. 2007

The Messenger Mission to Mercury

Self Cite

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The Mercury Dual Imaging System (MDIS) on the MESSENGER spacecraft will provide critical measurements tracing Mercury's origin and evolution. MDIS consists of a monochrome narrow-angle camera (NAC) and a multispectral wide-angle camera (WAC). The NAC is a 1.5°field-of-view (FOV) off-axis reflector, coaligned with the WAC, a fourelement refractor with a 10.5°FOV and 12-color filter wheel. The focal plane electronics of each camera are identical and use a 1,024 × 1,024 Atmel (Thomson) TH7888A chargecoupled device detector. Only one camera operates at a time, allowing them to share a common set of control electronics. The NAC and the WAC are mounted on a pivoting platform that provides a 90°field-of-regard, extending 40°sunward and 50°anti-sunward from the spacecraft +Z-axis-the boresight direction of most of MESSENGER's instruments. Onboard data compression provides capabilities for pixel binning, remapping of 12-bit data into 8 bits, and lossless or lossy compression. MDIS will acquire four main data sets at Mercury during three flybys and the two-Mercury-solar-day nominal mission: a monochrome global image mosaic at near-zero emission angles and moderate incidence angles, a stereocomplement map at off-nadir geometry and near-identical lighting, multicolor images at low incidence angles, and targeted high-resolution images of key surface features. These data will be used to construct a global image base map, a digital terrain model, global maps of color properties, and mosaics of high-resolution image strips. Analysis of these data will provide information on Mercury's impact history, tectonic processes, the composition and emplacement history of volcanic materials, and the thickness distribution and compositional variations of crustal materials. This paper summarizes MDIS's science objectives and technical design, including the common payload design of the MDIS data processing units, as well as detailed results from ground and early flight calibrations and plans for Mercury image products to be generated from MDIS data.

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“…In addition, the impact of the PSF on the optical sensor results in considerable uncertainties in derived MODIS land cover products [42]. Therefore, we also newly considered the effects of the PSF by observing images of a point source, such as a bright star, to characterize the AEISS-A sensor response to the point source [43,44]. We observed stars using KOMPSAT-3A MS to measure the PSF of the AEISS-A sensor during the IOT periods.…”

Section: Retrieval Of Psf With Kompsat-3a Ms Bands By Observing Starsmentioning

confidence: 99%

Initial Radiometric Characteristics of KOMPSAT-3A Multispectral Imagery Using the 6S Radiative Transfer Model, Well-Known Radiometric Tarps, and MFRSR Measurements

et al. 2017

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On-orbit radiometric characterization of the multispectral (MS) imagery of the Korea Aerospace Research Institute (KARI)'s Korea Multi-Purpose Satellite-3A (KOMPSAT-3A), which was launched on 25 March 2015, was conducted to provide quantitative radiometric information about KOMPSAT-3A. During the in-orbit test (IOT), vicarious radiometric calibration of KOMPSAT-3A was performed using the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer model. The characteristics of radiometric tarps, the atmospheric optical depth from multi-filter rotating shadowband radiometer (MFRSR) measurements, and sun-sensor-geometry were carefully considered, in order to calculate the exact top of atmosphere (TOA) radiance received by KOMPSAT-3A MS bands. In addition, the bidirectional reflectance distribution function (BRDF) behaviors of the radiometric tarps were measured in the laboratory with a two-dimensional hyperspectral gonioradiometer, to compensate for the geometry discrepancy between the satellite and the ASD FieldSpec ® 3 spectroradiometer. The match-up datasets between the TOA radiance and the digital number (DN) from KOMPSAT-3A were used to determine DN-to-radiance conversion factors, based on linear least squares fitting for two field campaigns. The final results showed that the R 2 values between the observed and simulated radiances for the blue, green, red, and near-infrared (NIR) bands, are greater than 0.998. An approximate error budget analysis for the vicarious calibration of KOMPSAT-3A showed an error of less than 6.8%. When applying the laboratory-based BRDF correction to the case of higher viewing zenith angle geometry, the gain ratio was improved, particularly for the blue (1.3%) and green (1.2%) bands, which exhibit high sensitivity to the BRDF of radiometric tarps during the backward-scattering phase. The calculated gain ratio between the first and second campaigns showed a less than 5% discrepancy, indicating that the determined radiometric characteristics of KOMPSAT-3A are reliable and useful to the user group for quantitative applications.

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Preliminary Remediation of Scattered Light in NEAR MSI Images

Cited by 16 publications

References 7 publications

Disk-Integrated Photometry of 433 Eros

Disk-Integrated Photometry of 433 Eros

The Mercury Dual Imaging System on the MESSENGER Spacecraft

Initial Radiometric Characteristics of KOMPSAT-3A Multispectral Imagery Using the 6S Radiative Transfer Model, Well-Known Radiometric Tarps, and MFRSR Measurements

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