Imaging Spectrometer

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Alexander F H Goetz - One of the best experts on this subject based on the ideXlab platform.

  • the spectral image processing system sips interactive visualization and analysis of Imaging Spectrometer data
    The earth and space science information system, 1993
    Co-Authors: Fred A. Kruse, A B Lefkoff, K B Heidebrecht, A T Shapiro, P J Barloon, J W Boardman, Alexander F H Goetz
    Abstract:

    The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the ‘‘Spectral Image Processing System (SIPS)’’ using ‘‘IDL’’ (the Interactive Data Language) on UNIX‐based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to Imaging Spectrometers. It streamlines analysis of these data by allowing scientists to interact with entire datasets in real‐time. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X‐windows‐based, user friendly, and provides ‘‘point and click’’ operation. SIPS is being used for multidisciplinary research concentrating on the use of physically‐based analysis methods to enhance scientific results from imging Spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of Imaging Spectrometer data and to make them available to the scientific community prior to the launch of Imaging Spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

  • the spectral image processing system sips interactive visualization and analysis of Imaging Spectrometer data
    Remote Sensing of Environment, 1993
    Co-Authors: A B Lefkoff, Joseph Boardman, K B Heidebrecht, A T Shapiro, P J Barloon, Alexander F H Goetz, Fred A. Kruse
    Abstract:

    Abstract The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the Spectral Image Processing System (SIPS) using IDL (the Interactive Data Language) on UNIX-based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to Imaging Spectrometers. It streamlines analysis of these data by allowing scientists to rapidly interact with entire datasets. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X-Windows-based, user friendly, and provides “point and click” operation. SIPS is being used for multidisciplinary research concentrating on use of physically based analysis methods to enhance scientific results from Imaging Spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of Imaging Spectrometer data and to make them available to the scientific community prior to the launch of Imaging Spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

Fred A. Kruse - One of the best experts on this subject based on the ideXlab platform.

  • Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data
    Algorithms and Technologies for Multispectral Hyperspectral and Ultraspectral Imagery XVIII, 2012
    Co-Authors: Fred A. Kruse
    Abstract:

    This research demonstrates the application of spectral-feature-based analysis to identifying and mapping Earth-surface materials using spectral libraries and Imaging Spectrometer data. Feature extraction utilizing a continuum-removal and local minimum detection approach was tested for analysis of both reflectance and emissivity spectral libraries by extracting and characterizing spectral features of rocks, soils, minerals, and man-made materials. Library-derived information was then used to illustrate both reflectance- and emissivity-feature-based spectral mapping using Imaging Spectrometer data (AVIRIS and SEBASS). An additional spectral library of emission spectra from selected nocturnal lighting types was used to develop a database of key spectral features that allowed mapping and characterization of night lights from ProSpecTIR-VS Imaging Spectrometer data. Results from these case histories demonstrate that the spectralfeature- based approach can be used with either reflectance or emission spectra and applied to a wide variety of Imaging Spectrometer data types for extraction of key surface composition information. © (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

  • Use of Imaging Spectrometer Data and Multispectral Imagery for Improved Earthquake Response
    Imaging and Applied Optics Technical Papers, 2012
    Co-Authors: Fred A. Kruse, Chris C. Clasen, Angela M. Kim, Sarah C. Carlisle
    Abstract:

    Multispectral imagery and Imaging Spectrometer data are used to develop prototype map products for improved earthquake response. A tiered approach keyed to post-event communications infrastructure is directed at providing critical information to emergency services personnel.

  • the spectral image processing system sips interactive visualization and analysis of Imaging Spectrometer data
    The earth and space science information system, 1993
    Co-Authors: Fred A. Kruse, A B Lefkoff, K B Heidebrecht, A T Shapiro, P J Barloon, J W Boardman, Alexander F H Goetz
    Abstract:

    The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the ‘‘Spectral Image Processing System (SIPS)’’ using ‘‘IDL’’ (the Interactive Data Language) on UNIX‐based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to Imaging Spectrometers. It streamlines analysis of these data by allowing scientists to interact with entire datasets in real‐time. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X‐windows‐based, user friendly, and provides ‘‘point and click’’ operation. SIPS is being used for multidisciplinary research concentrating on the use of physically‐based analysis methods to enhance scientific results from imging Spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of Imaging Spectrometer data and to make them available to the scientific community prior to the launch of Imaging Spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

  • the spectral image processing system sips interactive visualization and analysis of Imaging Spectrometer data
    Remote Sensing of Environment, 1993
    Co-Authors: A B Lefkoff, Joseph Boardman, K B Heidebrecht, A T Shapiro, P J Barloon, Alexander F H Goetz, Fred A. Kruse
    Abstract:

    Abstract The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the Spectral Image Processing System (SIPS) using IDL (the Interactive Data Language) on UNIX-based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to Imaging Spectrometers. It streamlines analysis of these data by allowing scientists to rapidly interact with entire datasets. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X-Windows-based, user friendly, and provides “point and click” operation. SIPS is being used for multidisciplinary research concentrating on use of physically based analysis methods to enhance scientific results from Imaging Spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of Imaging Spectrometer data and to make them available to the scientific community prior to the launch of Imaging Spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

Pantazis Mouroulis - One of the best experts on this subject based on the ideXlab platform.

  • Snow and Water Imaging Spectrometer: mission and instrument concepts for earth-orbiting CubeSats
    Journal of Applied Remote Sensing, 2018
    Co-Authors: Holly A. Bender, Justin M. Haag, Johannes Gross, Pantazis Mouroulis, Robert O Green, Heidi M Dierssen, David R. Thompson, Christopher D. Smith, Thomas H Painter, Byron E. Van Gorp
    Abstract:

    The Snow and Water Imaging Spectrometer (SWIS) is a science-grade Imaging Spectrometer designed for CubeSat integration, spanning a 350- to 1700-nm spectral range with 5.7-nm sampling, a 10-degree field-of-view, and 0.3-mrad spatial resolution. The system operates at F  /  1.8, providing the high throughput for low-reflectivity (

  • Snow and Water Imaging Spectrometer (SWIS): CubeSat configuration and design
    CubeSats and NanoSats for Remote Sensing II, 2018
    Co-Authors: Holly A. Bender, John Bellardo, Cole T. Gillespie, Gilbert John Heaton, Nicholas N. Sizemore, Andres Andrade, Pantazis Mouroulis, Michael Fernandez, Christopher D. Smith, Elliott H. Liggett
    Abstract:

    The Snow and Water Imaging Spectrometer (SWIS) is a science-grade Imaging Spectrometer and telescope system suitable for CubeSat applications, spanning a 350-1700 nm spectral range with 5.7 nm sampling, a 10 degree field of view and 0.3 mrad spatial resolution. The system operates at F/1.8, providing high throughput for low-reflectivity water surfaces, while avoiding saturation over bright snow or clouds. The SWIS design utilizes heritage from previously demonstrated instruments on airborne platforms, while advancing the state of the art in compact sensors of this kind in terms of size and spectral coverage. We provide an overview of the preliminary spacecraft configuration design for accommodation in a 6U CubeSat platform.

  • Earth Observing Systems - Snow and Water Imaging Spectrometer (SWIS): first alignment and characterization results
    Earth Observing Systems XXII, 2017
    Co-Authors: Holly A. Bender, Justin M. Haag, Pantazis Mouroulis, Christopher D. Smith, Byron E. Van Gorp
    Abstract:

    The Snow and Water Imaging Spectrometer (SWIS) is a fast, high-uniformity, low-polarization sensitivity Imaging Spectrometer and telescope system designed for integration on a 6U CubeSat platform. Operating in the 350-1700 nm spectral region with 5.7 nm sampling, SWIS is capable of simultaneously addressing the demanding needs of coastal ocean science and snow and ice monitoring. New key technologies that facilitate the development of this instrument include a linear variable anti-reflection (LVAR) detector coating for stray light management, and a single drive on-board calibration mechanism utilizing a transmissive diffuser for solar calibration. We provide an overview of the SWIS instrument design and potential science applications and describe the instrument assembly and alignment, supported by laboratory measurements.

  • Snow and Water Imaging Spectrometer (SWIS): development of a CubeSat-compatible instrument
    Earth Observing Missions and Sensors: Development Implementation and Characterization IV, 2016
    Co-Authors: Holly A. Bender, Colin H. Smith, Byron E. Van Gorp, Johannes Gross, Pantazis Mouroulis, Christopher D. Smith, Daniel W Wilson, Thomas H Painter, Michael L. Eastwood
    Abstract:

    The Snow and Water Imaging Spectrometer (SWIS) is a fast, high-uniformity, low-polarization sensitivity Imaging Spectrometer and telescope system designed for integration on a 6U CubeSat platform. Operating in the 350-1700 nm spectral region with 5.7 nm sampling, SWIS is capable of simultaneously addressing the demanding needs of coastal ocean science and snow and ice monitoring. New key technologies that facilitate the development of this instrument include a linear variable anti-reflection (LVAR) detector coating for stray light management, and a single drive on-board calibration mechanism utilizing a transmissive diffuser for solar calibration. We provide an overview of the SWIS instrument design, spacecraft configuration design, and potential science missions.

  • Design of the Compact Wide Swath Imaging Spectrometer (CWIS)
    Imaging Spectrometry XIX, 2014
    Co-Authors: Byron E. Van Gorp, Pantazis Mouroulis, Daniel W Wilson, Robert O Green
    Abstract:

    The Compact Wide Swath Imaging Spectrometer (CWIS) is a pushbroom Imaging Spectrometer for the solar reflected spectrum (380-2500 nm) with wide swath (1600 elements), fast optical speed (F/1.8), and high uniformity (≥95%). The CWIS compact Dyson demonstrates a reduction in volume and mass over the equivalent Offner-type instrument. CWIS is currently under development at the Jet Propulsion Laboratory and is intended to address the need for high signal to noise ratio compact Imaging Spectrometer systems for the visible short wave infrared wavelength range. Optical design, stray light modeling, and current status of the instrument are discussed.

Eustace L. Dereniak - One of the best experts on this subject based on the ideXlab platform.

  • Ranging-Imaging Spectrometer
    Imaging Spectrometry IX, 2004
    Co-Authors: Brian Alan Kinder, John Phillips Garcia, Robert D. Habbit, Eustace L. Dereniak
    Abstract:

    An Imaging Spectrometer that can simultaneously obtain 3-D spatial and hyperspectral data has been developed. The Ranging-Imaging Spectrometer (RIS) is based on the Computed Tomographic Imaging Spectrometer (CTIS) developed at the Optical Science Center, and the Scannerless Laser Radar (LADAR) architecture developed at Sandia National Labs. The instrument acquires hyperspectral data in a single snapshot and spatial data in a series of snapshots. The system has 29 spectral bands, 1024 range samples, and approximately 80 x 80 spatial sampling. The RIS is discussed along with analysis of test data.

  • Tunable snapshot Imaging Spectrometer
    Imaging Spectrometry IX, 2004
    Co-Authors: Christopher P. Tebow, Eustace L. Dereniak, Dennis J. Garrood, Terry A. Dorschner, Curtis Volin
    Abstract:

    The acquisition of a multi-spectral data set in a single FPA integration time (snapshot) with no moving parts or scanning is possible with a Computed Tomographic Imaging Spectrometer (CTIS). CTIS instruments employ specially designed computer generated holograms (CGH) etched in an appropriate media for the wavelength band of interest as the dispersing element. The replacement of current etched CGHs with an electronically tunable liquid crystal Optical Phase Array (OPA) extends the capabilities of the CTIS by adding the ability to change its configuration while maintaining its basic motivation as a non-scanning Imaging Spectrometer with no moving parts. This tunability allows the dispersion, number of diffraction orders, and diffraction efficiency of the orders to be changed affecting the instrument’s spectral resolution, data cube reconstruction quality and speed. This publication presents the results of characterizing the OPA phase vs. applied voltage profile and the feedback algorithm used to program the OPA as a CTIS disperser.

  • Development of a four-dimensional Imaging Spectrometer
    Imaging Spectrometry VIII, 2002
    Co-Authors: Brian Alan Kinder, John Phillips Garcia, Eustace L. Dereniak
    Abstract:

    The development of an Imaging Spectrometer to acquire 3 spatial dimensions and hyper-spectral information simultaneously is detailed. The Spectrometer is based on the Computed Tomographic Imaging Spectrometer (CTIS) developed at the Optical Science Center and the Scannerless Laser Radar (LADAR) architecture developed at Sandia National Labs. The new 4-D imager, called the Spectral LADAR System (SLS), operates in the visible to near-infrared portion of the spectrum (600-900 nm). The system has 30 spectral intervals (10 nm bands), 1024 range samples, and approximately 80 x 80 spatial sampling. CTIS and LADAR are discussed, as well as preliminary results of the SLS.

  • computed tomography Imaging Spectrometer experimental calibration and reconstruction results
    Applied Optics, 1995
    Co-Authors: Michael R. Descour, Eustace L. Dereniak
    Abstract:

    A temporally and spatially nonscanning Imaging Spectrometer is described in terms of computedtomography concepts, specifically the central-slice theorem. A sequence of three transmission sinusoidalphase gratings rotated in 60° increments achieves dispersion in multiple directions and into multiple orders. The dispersed images of the system's field stop are interpreted as two-dimensional projections of a three-dimensional (x, y, λ) object cube. Because of the size of the finite focal-plane array, this Imaging Spectrometer is an example of a limited-view-angle tomographic system. The Imaging Spectrometer's point spread function is measured experimentally as a function of wavelength and position in the field of view. Reconstruction of the object cube is then achieved through the maximum-likelihood, expectation-maximization algorithm under the assumption of a Poisson likelihood law. Experimental results indicate that the instrument performs well in the case of broadband and narrow-band emitters.

  • Nonscanning no-moving-parts Imaging Spectrometer
    Imaging Spectrometry, 1995
    Co-Authors: Michael R. Descour, Eustace L. Dereniak
    Abstract:

    A temporally and spatially nonscanning Imaging Spectrometer is described in terms of computed-tomography concepts, specifically the central-slice theorem. The critical system element is a sequence of three transmission sinusoidal-phase gratings rotated in 60 degree increments which achieve dispersion in multiple directions and into multiple orders. The dispersed images of the system's field-stop are interpreted as 2D projections of a 3D (x, y, (lambda) ) object cube. Due to finite focal-plane array size, this computed-tomography Imaging Spectrometer (CTIS) is an example of a limited-view-angle tomographic system. The Imaging Spectrometer's point-spread-function is measured experimentally as a function of wavelength and position in the field-of-view. Reconstruction of the object cube is then achieved via the maximum-likelihood expectation-maximization algorithm under the assumption of a Poisson likelihood law. Experimental results using a spatial/spectral 'University of Arizona' target indicate that the instrument performs well in the case of broadband and narrowband emitters. A relationship between an object's spatial size and spectral resolution characteristic of limited-view-angle systems is demonstrated.

Weimin Shen - One of the best experts on this subject based on the ideXlab platform.

  • Optical design of a broadband Offner Imaging Spectrometer for the asteroid exploration
    AOPC 2020: Optical Sensing and Imaging Technology, 2020
    Co-Authors: Fuzhen Yang, Zhicheng Zhao, Xinhua Chen, Quan Liu, Weimin Shen
    Abstract:

    Asteroid exploration has become one of the important ways to understand the origin of the universe, exploit the space mineral resources and protect the earth from the asteroid impact. The Imaging Spectrometer, which can acquire the spatial and spectral information simultaneously, has become one of the most important payloads for the asteroid exploration. In this paper, the optical design of a broadband Offner Imaging Spectrometer for the asteroid exploration is presented. It covers from 0.4μm to 3μm, and the F/# is 6 and 3 for the VNIR band (0.4μm-1.0μm) and the SWIR band (1.0μm -3.0μm), respectively. The convex grating in the Imaging Spectrometer is divided into two regions of different groove spacing, and each region is optimized with different blazed angles to improve the spectral response of this Imaging Spectrometer. The diffraction efficiency is analyzed with the Comsol software and the result is greater than 0.36 in the wavelength range of 0.4μm to 3μm. After optimized with the optical design software, the diameter of the Imaging Spectrometer's spot diagram is less than one pixel, and the lowest MTF is 0.460 at the Nyquist frequency. The smile and keystone is less than 10% of the pixel.

  • Design and Manufacture of the Compact Conical Diffraction Imaging Spectrometer
    4th International Symposium of Space Optical Instruments and Applications, 2018
    Co-Authors: Qiao Pan, Xinhua Chen, Zhicheng Zhao, Quan Liu, Xiaofeng Wang, Chao Luo, Weimin Shen
    Abstract:

    The conical diffraction Imaging Spectrometer, which is based on the off-plane Offner mounting, can achieve high spectral resolution, low-level distortion with compact package. It has attracted much attentions recently and been used for many fields in which the dispersion width is much longer than the slit length. The design and manufacture of a compact conical diffraction Imaging Spectrometer, which operates at F/4 and covers the 400–900 nm spectral region, is introduced is this paper. The body of the Imaging Spectrometer is made of titanium alloy and can work stably in a wide temperature range. The MTF and the spectral performance of the Imaging Spectrometer are measured after alignment. MTF measurement shows that the Imaging quality of this Imaging Spectrometer is almost diffraction limited. The measured spectral resolution is 4.8 nm, while the smile and keystone is about 4% and 3.4% of a pixel width respectively.

  • Effect of distortions on spectral signal acquisition of the grating Imaging Spectrometer
    Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018
    Co-Authors: Xiaofeng Wang, Weimin Shen, Xinhua Chen, Qiao Pan, Zhicheng Zhao, Chao Luo, Minxue Tang
    Abstract:

    The grating Imaging Spectrometer has the characteristics of good linearity, wide dispersion range and is widely used in the field of remote sensing. Distortions (including smile and keystone) are one of the important parameters of the grating Imaging Spectrometer, which directly affects the quality of the image and spectral information obtained by the Imaging Spectrometer. In order to get the requirements of two kinds of distortions in the design process of the grating Imaging Spectrometer, the effect of the smile and keystone on the target detection is simulated and analyzed respectively. Based on the spectral response function with the Gaussian, the change of the spectral signal acquired by the grating Imaging Spectrometer with the amount of the different smile is calculated by combining with the spectral data of the atmospheric in the visible and near-infrared (0.4~1μm). The results show that the amount of smile should be no more than 1nm, 0.6nm and 0.2nm respectively when the spectral resolutions of the Imaging Spectrometer are 20nm, 10nm and 5nm. With the assumption that the spatial response function is the rectangle function, the effect of the different keystone on spectral signal acquisition of the Imaging Spectrometer is simulated by using the hyperspectral data. The results indicate that the offset of the keystone should be controlled within 0.04d (d is the pixel width).

  • Laboratory radiometric calibration for the convex grating Imaging Spectrometer
    7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 2014
    Co-Authors: Jiankang Zhou, Yuheng Chen, Xinhua Chen, Weimin Shen
    Abstract:

    The radiometric calibration of Imaging Spectrometer plays an import role for scientific application of spectral data. The radiometric calibration accuracy is influenced by many factors, such as the stability and uniformity of light source, the transfer precision of radiation standard and so on. But the deviation from the linear response mode and the polarization effect of the Imaging Spectrometer are always neglected. In this paper, the linear radiometric calibration model is constructed and the radiometric linear response capacity is test by adjusting electric gain, exposure time and radiance level. The linear polarizer and the sine function fitting algorithm are utilized to measure polarization effect. The integrating sphere calibration system is constructed in our Lab and its spectral radiance is calibrated by a well-characterized and extremely stable NIST traceable transfer spectroradiometer. Our manufactured convex grating Imaging Spectrometer is relative and absolute calibrated based on the integrating sphere calibration system. The relative radiometric calibration data is used to remove or reduce the radiometric response non-uniformity every pixel of Imaging Spectrometer while the absolute radiometric calibration is used to construct the relationship between the physical radiant of the scene and the digital number of the image. The calibration coefficients are acquired at ten radiance levels. The diffraction noise in the images can be corrected by the calibration coefficients and the uniform radiance image can be got. The calibration result shows that our manufactured Imaging Spectrometer with convex grating has 3.0% degree of polarization and the uncertainties of the relative and absolute radiometric calibrations are 2.4% and 5.6% respectively.

  • Wavelength calibration of Imaging Spectrometer using atmospheric absorption features
    Optoelectronic Imaging and Multimedia Technology II, 2012
    Co-Authors: Jiankang Zhou, Yuheng Chen, Yiqun Ji, Xinhua Chen, Weimin Shen
    Abstract:

    Imaging Spectrometer is a promising remote sensing instrument widely used in many filed, such as hazard forecasting, environmental monitoring and so on. The reliability of the spectral data is the determination to the scientific communities. The wavelength position at the focal plane of the Imaging Spectrometer will change as the pressure and temperature vary, or the mechanical vibration. It is difficult for the onboard calibration instrument itself to keep the spectrum reference accuracy and it also occupies weight and the volume of the remote sensing platform. Because the spectral images suffer from the atmospheric effects, the carbon oxide, water vapor, oxygen and solar Fraunhofer line, the onboard wavelength calibration can be processed by the spectral images themselves. In this paper, wavelength calibration is based on the modeled and measured atmospheric absorption spectra. The modeled spectra constructed by the atmospheric radiative transfer code. The spectral angle is used to determine the best spectral similarity between the modeled spectra and measured spectra and estimates the wavelength position. The smile shape can be obtained when the matching process across all columns of the data. The present method is successful applied on the Hyperion data. The value of the wavelength shift is obtained by shape matching of oxygen absorption feature and the characteristics are comparable to that of the prelaunch measurements.

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