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Dive into the research topics where Robert L. Lucke is active.

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Featured researches published by Robert L. Lucke.


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 Letters | 2002

Two-dimensional synthetic aperture imaging in the optical domain

Mark Bashkansky; Robert L. Lucke; Eric E. Funk; Lee J. Rickard; J. Reintjes

In scan-mode synthetic aperture imaging radar, spatial resolution in a range is given by a frequency-swept waveform, whereas resolution in the orthogonal direction is derived from the record of phase as the beam footprint executes linear motion over the object. We demonstrate here what is to our knowledge the first two-dimensional imaging that uses exactly this process in the optical domain for a 1 cm x 1 cm object with 90 mumx170 mum resolution.


Applied Optics | 2002

Photon-limited synthetic-aperture imaging for planet surface studies.

Robert L. Lucke; Lee J. Rickard

The carrier-to-noise ratio that results from phase-sensitive heterodyne detection in a photon-limited synthetic-aperture ladar (SAL) is developed, propagated through synthetic-aperture signal processing, and combined with speckle to give the signal-to-noise ratio of the resultant image. Carrier- and signal-to-noise ratios are defined in such a way as to be familiar to the optical imaging community. Design equations are presented to show that a 10-microm SAL in orbit around Mars can give centimeter-class resolution with reasonable laser power. SAL is harder to implement in the short-wave infrared and is probably not practical at visible wavelengths unless many separate images can be averaged. Some tutorial information on phase-sensitive heterodyne detection and on synthetic-aperture signal processing and image formation is provided.


European Journal of Physics | 2006

Rayleigh?Sommerfeld diffraction and Poisson's spot

Robert L. Lucke

When the Fresnel–Kirchhoff (FK) diffraction integral is evaluated exactly (instead of using the Fresnel approximation), the well-known mathematical inconsistency in the FK boundary conditions leads to unacceptable results for the intensity of Poissons spot. The Rayleigh–Sommerfeld (RS) integral has no inconsistencies and leads to an accurate description. The case for RS is bolstered by the observation that it is equivalent to Fourier propagation.


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.


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.


Optical Engineering | 2007

Out-of-plane dispersion in an Offner spectrometer

Robert L. Lucke

In an Offner spectrometer, unlike other spectrometers, the dispersion need not be in the plane of the instrument (defined as the plane that includes the mirror vertices and the center of the entrance slit). If the entrance slit is short, better performance can be obtained when the dispersion is perpendicular to this plane. The reasons for this are briefly discussed, and design examples given.


ieee aerospace conference | 2001

Fundamentals of wide-field sparse-aperture imaging

Robert L. Lucke

Wide-field sparse-aperture imaging systems are desirable for space-borne surveillance applications because they have the potential for improving resolution while minimizing the weight penalty implied by a bigger deployed aperture. Exploiting this potential requires image processing in Fourier space to correct the effects of the badly compromised point spread functions. Consideration of how the SNR in Fourier space depends on sparsity reveals an unexpected, fundamental, highly disadvantageous limit on exposure time, expressed by the Fienup theorem. The merits of different types of aperture configurations are discussed in terms of the resulting point spread and modulation transfer functions, and the effect of dividing a broad spectral range into sub-bands is introduced.


IEEE Transactions on Geoscience and Remote Sensing | 2012

A Technique For Removing Second-Order Light Effects From Hyperspectral Imaging Data

Rong-Rong Li; Robert L. Lucke; Daniel Korwan; Bo-Cai Gao

The Hyperspectral Imager for the Coastal Ocean (HICO) instrument currently on board the International Space Station is a new sensor designed specifically for the studies of turbid coastal waters and large inland lakes and rivers. It covers the wavelength range between 0.4 and 0.9 μm with a spectral resolution of 5.7 nm and a spatial resolution of approximately 90 m. The HICO sensor is not equipped with a second-order blocking filter in front of the focal plane array. As a result, the second-order light from the shorter visible spectral region falls onto the detectors covering the near-IR spectral region above 0.8 μm. In order to have accurate radiometric calibration of the near-IR channels, the second-order light contribution needs to be removed. The water-leaving radiances of these near-IR channels over clear ocean waters are close to zero because of strong liquid water absorption above 0.8 μm. Through analysis of HICO imaging data containing features of shallow underwater objects, such as coral reefs, we have developed an empirical technique to correct for the second-order light effects in near-IR channels. HICO data acquired over Midway Island in the Pacific Ocean and the Bahamas Banks in the Atlantic Ocean are used to demonstrate the effectiveness of the new technique.

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Michael R. Corson

United States Naval Research Laboratory

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Daniel Korwan

United States Naval Research Laboratory

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Bo-Cai Gao

United States Naval Research Laboratory

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Jeffrey H. Bowles

United States Naval Research Laboratory

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Lee J. Rickard

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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G. Charmaine Gilbreath

United States Naval Research Laboratory

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