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Dive into the research topics where Michael R. Corson is active.

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Featured researches published by Michael R. Corson.


Applied Optics | 2011

Hyperspectral Imager for the Coastal Ocean: instrument description and first images

Robert L. Lucke; Michael R. Corson; Norman R. McGlothlin; Steve D. Butcher; D. L. Wood; Daniel Korwan; Rong R. Li; Willliam A. Snyder; Curt O. Davis; Davidson T. Chen

The Hyperspectral Imager for the Coastal Ocean (HICO) is the first spaceborne hyperspectral sensor designed specifically for the coastal ocean and estuarial, riverine, or other shallow-water areas. The HICO generates hyperspectral images, primarily over the 400-900 nm spectral range, with a ground sample distance of ≈90 m (at nadir) and a high signal-to-noise ratio. The HICO is now operating on the International Space Station (ISS). Its cross-track and along-track fields of view are 42 km (at nadir) and 192 km, respectively, for a total scene area of 8000 km(2). The HICO is an innovative prototype sensor that builds on extensive experience with airborne sensors and makes extensive use of commercial off-the-shelf components to build a space sensor at a small fraction of the usual cost and time. Here we describe the instruments design and characterization and present early images from the ISS.


Optics Express | 2012

Impact of Signal-to-Noise Ratio in a Hyperspectral Sensor on the Accuracy of Biophysical Parameter Estimation in Case II Waters

Wesley J. Moses; Jeffrey H. Bowles; Robert L. Lucke; Michael R. Corson

Errors in the estimated constituent concentrations in optically complex waters due solely to sensor noise in a spaceborne hyperspectral sensor can be as high as 80%. The goal of this work is to elucidate the effect of signal-to-noise ratio (SNR) on the accuracy of retrieved constituent concentrations. Large variations in the magnitude and spectral shape of the reflectances from coastal waters complicate the impact of SNR on the accuracy of estimation. Due to the low reflectance of water, the actual SNR encountered for a water target is usually quite lower than the prescribed SNR. The low SNR can be a significant source of error in the estimated constituent concentrations. Simulated and measured at-surface reflectances were used in this study. A radiative transfer code, Tafkaa, was used to propagate the at-surface reflectances up and down through the atmosphere. A sensor noise model based on that of the spaceborne hyperspectral sensor HICO was applied to the at-sensor radiances. Concentrations of chlorophyll-a, colored dissolved organic matter, and total suspended solids were estimated using an optimized error minimization approach and a few semi-analytical algorithms. Improving the SNR by reasonably modifying the sensor design can reduce estimation uncertainties by 10% or more.


international geoscience and remote sensing symposium | 2008

The Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station

Michael R. Corson; Daniel Korwan; Robert L. Lucke; William A. Snyder; Curtiss O. Davis

The HICO (Hyperspectral Imager for the Coastal Ocean) program is the first demonstration of environmental characterization of the coastal zone using a spaceborne maritime hyperspectral imager. HICO is sponsored by the Office of Naval Research as an Innovative Naval Prototype (INP), and will demonstrate coastal products including water clarity, bottom types, bathymetry and on-shore vegetation maps. As an INP, HICO will also demonstrate innovative ways to reduce the cost and schedule of this space mission by adapting proven aircraft imager architecture and using Commercial Off-The-Shelf (COTS) components where possible.


1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications | 1998

Modulating retroreflector architecture using multiple quantum wells for free-space optical communications

G. Charmaine Gilbreath; William S. Rabinovich; Rita Mahon; Michael R. Corson; John F. Kline; Joshua H. Resnick; H. Charles Merk; Michael J. Vilcheck

In this paper, we describe a demonstration using a Multiple Quantum Well modulator combined with an optical retroreflector which supported a high speed free space optical data link. Video images were transmitted over an 859 nanometer link at a rate of 460 kilo bits per second, where rate of modulation was limited by demonstration hardware, not the modulator. Reflection architectures for the modulator were used although transmission architectures have also been investigated but are not discussed in this paper. The modulator was a GaAs/Al0.3Ga0.7As quantum well which was designed and fabricated for use as a shutter at the Naval Research Laboratory. We believe these are the first results reported demonstrating a high speed free space optical data link using multiple quantum well shutters combined with retroreflectors for viable free space optical communications.


Applied Optics | 2012

Vicarious calibrations of HICO data acquired from the International Space Station

Bo-Cai Gao; Rong-Rong Li; Robert L. Lucke; Curtiss O. Davis; Richard M. Bevilacqua; Daniel Korwan; Marcos J. Montes; Jeffrey H. Bowles; Michael R. Corson

The Hyperspectral Imager for the Coastal Ocean (HICO) presently onboard the International Space Station (ISS) is an imaging spectrometer designed for remote sensing of coastal waters. The instrument is not equipped with any onboard spectral and radiometric calibration devices. Here we describe vicarious calibration techniques that have been used in converting the HICO raw digital numbers to calibrated radiances. The spectral calibration is based on matching atmospheric water vapor and oxygen absorption bands and extraterrestrial solar lines. The radiometric calibration is based on comparisons between HICO and the EOS/MODIS data measured over homogeneous desert areas and on spectral reflectance properties of coral reefs and water clouds. Improvements to the present vicarious calibration techniques are possible as we gain more in-depth understanding of the HICO laboratory calibration data and the ISS HICO data in the future.


Sensors | 2015

Expected Improvements in the Quantitative Remote Sensing of Optically Complex Waters with the Use of an Optically Fast Hyperspectral Spectrometer—A Modeling Study

Wesley J. Moses; Jeffrey H. Bowles; Michael R. Corson

Using simulated data, we investigated the effect of noise in a spaceborne hyperspectral sensor on the accuracy of the atmospheric correction of at-sensor radiances and the consequent uncertainties in retrieved water quality parameters. Specifically, we investigated the improvement expected as the F-number of the sensor is changed from 3.5, which is the smallest among existing operational spaceborne hyperspectral sensors, to 1.0, which is foreseeable in the near future. With the change in F-number, the uncertainties in the atmospherically corrected reflectance decreased by more than 90% across the visible-near-infrared spectrum, the number of pixels with negative reflectance (caused by over-correction) decreased to almost one-third, and the uncertainties in the retrieved water quality parameters decreased by more than 50% and up to 92%. The analysis was based on the sensor model of the Hyperspectral Imager for the Coastal Ocean (HICO) but using a 30-m spatial resolution instead of HICO’s 96 m. Atmospheric correction was performed using Tafkaa. Water quality parameters were retrieved using a numerical method and a semi-analytical algorithm. The results emphasize the effect of sensor noise on water quality parameter retrieval and the need for sensors with high Signal-to-Noise Ratio for quantitative remote sensing of optically complex waters.


workshop on hyperspectral image and signal processing: evolution in remote sensing | 2010

The Hyperspectral Imager for the Coastal Ocean (HICO)- design and early results

Daniel Korwan; Robert L. Lucke; Michael R. Corson; Jeffrey H. Bowles; Bo-Cai Gao; Rong-Rong Li; Marcos J. Montes; William A. Snyder; Norman R. McGlothlin; S. D. Butcher; D. L. Wood; Curtiss O. Davis; W. D. Miller

The design and early results of the Hyperspectral Imager for the Coastal Ocean (HICO) are presented. The performance requirements imposed on the sensor to measure the low signals and to differentiate the optically complex spectra of the coastal ocean are discussed. It is shown the as-built sensor meets or exceeds the design parameters. Further, environmental products from early retrievals of the HICO imagery are presented.


Laser radar technology and applications. Conference | 1999

Large-aperture quantum well shutters for fast retroreflected optical data links in free space

G. Charmaine Gilbreath; William S. Rabinovich; Rita Mahon; Michael R. Corson; Mena F. Stell; D. Scott Katzer; K. Ikossi-Anastasiou; Timothy J. Meehan; John F. Kline

This paper reports progress on the development of a fast modulating retroreflector for a free space optical data link. A previous publication reported sustaining video over a 17 meter link using a multiple quantum well shutter with a diameter of 0.5 cm at a rate on the order of 0.5 Mbps, limited by the demonstration electronics. This work describes improvements in the device performance, which is on the order of 4 Mbps to 6 Mbps with a Bit Error Rates of 10-6 over a robust optical link. This device lends itself to an array configuration for long range applications and will clearly support T1 rates of 1.54 Mbps, and higher.


international geoscience and remote sensing symposium | 2010

The Hyperspectral Imager for the Coastal Ocean (HICO™) environmental littoral imaging from the International Space Station

Michael R. Corson; Robert L. Lucke; Curtiss O. Davis; Jeffrey H. Bowles; Davidson T. Chen; Bo-Cai Gao; Daniel Korwan; W. D. Miller; William A. Snyder

The Hyperspectral Imager for the Coastal Ocean (HICO™), launched to the International Space Station in September 2009, is the first spaceborne hyperspectral imager optimized for environmental characterization of the coastal ocean. Building on the heritage of airborne hyperspectral imagers, HICO™ combines high signal-to-noise ratio, contiguous 10 nm wide spectral channels over the range 400 to 900 nm, and a scene size of 42 × 190 km to capture the scale of coastal dynamics. HICO™ image data is being exploited to produce maps of coastal ocean properties including bathymetry, in-water suspended and dissolved matter, and bottom characteristics, offering a new remote sensing capability for coastal environments worldwide. In this paper we discuss the development and performance characteristics of the HICO™ imager, and present example HICO™ data products.


Optical Science and Technology, SPIE's 48th Annual Meeting | 2004

Modification of the ocean PHILLS hyperspectral imager for the International Space Station and the HyGEIA program

Michael R. Corson; Jeffrey H. Bowles; Wei Chen; Curtiss O. Davis; Clinton E. Dorris; Kiera H. Gallelli; Daniel Korwan; Lisa A. Policastri

The Naval Research Laboratory and the Boeing Company have teamed to fly the NRL ocean Portable Hyperspectral Imager for Low Light Spectroscopy (ocean PHILLS) on board the International Space Station (ISS). This joint program is named the Hyperspectral Sensor for Global Environmental Imaging and Analysis (HyGEIA). Hyperspectral images spanning the wavelength range 400 to 1000 nm will be collected at a ground sample distance of 25 m, with 10 nm spectral binning, and 200 to 1 signal to noise over the visible wavelengths for a 5% albedo scene. These images will be used to characterize the coastal ocean and littoral zone, crops, and forest areas. The PHILLS will also image over the same wavelength range at 130 m GSD to produce similar environmental products over a larger ground area. This paper will describe the modification of PHILLS required for use on the ISS, the modeled on orbit performance, and the planned on orbit configuration.

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Jeffrey H. Bowles

United States Naval Research Laboratory

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Robert L. Lucke

United States Naval Research Laboratory

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Daniel Korwan

United States Naval Research Laboratory

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Marcos J. Montes

United States Naval Research Laboratory

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Bo-Cai Gao

United States Naval Research Laboratory

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Rong-Rong Li

United States Naval Research Laboratory

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William A. Snyder

United States Naval Research Laboratory

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Richard W. Gould

United States Naval Research Laboratory

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