Journal ArticleDOI
Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
Robert O. Green,Michael L. Eastwood,Charles M. Sarture,Thomas G. Chrien,Mikael Aronsson,Bruce J Chippendale,Jessica Faust,Betina Pavri,Christopher J Chovit,Manuel Solis,Martin R Olah,Orlesa Williams +11 more
TLDR
The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was the first imaging sensor to measure the solar reflected spectrum from 400 nm to 2500 nm at 10 nm intervals as mentioned in this paper.About:
This article is published in Remote Sensing of Environment.The article was published on 1998-09-01. It has received 1729 citations till now. The article focuses on the topics: Airborne visible/infrared imaging spectrometer & Imaging spectrometer.read more
Citations
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Journal ArticleDOI
Vertex component analysis: a fast algorithm to unmix hyperspectral data
TL;DR: A new method for unsupervised endmember extraction from hyperspectral data, termed vertex component analysis (VCA), which competes with state-of-the-art methods, with a computational complexity between one and two orders of magnitude lower than the best available method.
Journal ArticleDOI
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Jose M. Bioucas-Dias,Antonio Plaza,Nicolas Dobigeon,Mario Parente,Qian Du,Paul D. Gader,Jocelyn Chanussot +6 more
TL;DR: This paper presents an overview of un Mixing methods from the time of Keshava and Mustard's unmixing tutorial to the present, including Signal-subspace, geometrical, statistical, sparsity-based, and spatial-contextual unmixed algorithms.
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Jose M. Bioucas-Dias,Antonio Plaza,Nicolas Dobigeon,Mario Parente,Qian Du,Paul D. Gader,Jocelyn Chanussot +6 more
TL;DR: An overview of unmixing methods from the time of Keshava and Mustard's tutorial as mentioned in this paper to the present can be found in Section 2.2.1].
Journal ArticleDOI
Recent Advances in Techniques for Hyperspectral Image Processing
Antonio Plaza,Jon Atli Benediktsson,Joseph W. Boardman,J. Brazile,Lorenzo Bruzzone,Gustavo Camps-Valls,Jocelyn Chanussot,Mathieu Fauvel,Mathieu Fauvel,Paolo Gamba,Anthony J. Gualtieri,Mattia Marconcini,James C. Tilton,G. Trianni +13 more
TL;DR: A seminal view on recent advances in techniques for hyperspectral image processing, focusing on the design of techniques able to deal with the high-dimensional nature of the data, and to integrate the spa- tial and spectral information.
Journal ArticleDOI
Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) on Mars Reconnaissance Orbiter (MRO)
Scott L. Murchie,Raymond E. Arvidson,Peter D. Bedini,K. Beisser,Jean-Pierre Bibring,Janice L. Bishop,John D. Boldt,P. Cavender,T. Choo,R. T. Clancy,E. H. Darlington,David J. Des Marais,R. C. Espiritu,D. Fort,Robert O. Green,Edward A. Guinness,John Hayes,Christopher D. Hash,K. J. Heffernan,J. Hemmler,Gene A. Heyler,David C. Humm,J. Hutcheson,Noam R. Izenberg,R. Lee,J. Lees,D. A. Lohr,Erick Malaret,Terry Z. Martin,J. A. McGovern,Patrick C. McGuire,Richard V. Morris,John F. Mustard,Shannon M. Pelkey,Edgar A. Rhodes,Mark S. Robinson,Ted L. Roush,Edward D. Schaefer,G. Seagrave,Frank P. Seelos,P. Silverglate,S. Slavney,M. D. Smith,W. J. Shyong,K. Strohbehn,H. W. Taylor,P. Thompson,B. Tossman,M. Wirzburger,M. J. Wolff +49 more
TL;DR: The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is a hyperspectral imager on the Mars Reconnaissance Orbiter (MRO) spacecraft as discussed by the authors, which consists of three subassemblies, a gimbaled Optical Sensor Unit (OSU), a Data Processing Unit (DPU), and the Gimbal Motor Electronics (GME).
References
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Journal ArticleDOI
Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models
Dar A. Roberts,Margaret E. Gardner,Richard L. Church,Susan L. Ustin,G. Scheer,Robert O. Green,Robert O. Green +6 more
TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).
Journal ArticleDOI
The MODIS 2.1-/spl mu/m channel-correlation with visible reflectance for use in remote sensing of aerosol
TL;DR: A new technique for remote sensing of aerosol over the land and for atmospheric correction of Earth imagery is developed, based on detection of dark surface targets in the blue and red channels, but uses the 2.1-/spl mu/m channel, instead of the 3.75-/Spl mu/M channel, for their detection.
Journal ArticleDOI
MODTRAN cloud and multiple scattering upgrades with application to AVIRIS
Alexander Berk,Lawrence S. Bernstein,Gail P. Anderson,Prabhat K. Acharya,David C. Robertson,James H. Chetwynd,Steven M. Adler-Golden +6 more
TL;DR: In this paper, the impact of these upgrades on predictions for AVIRIS viewing scenarios is discussed for both clear and clouded skies; the CK approach provides refined predictions for nadir and near-nadir viewing.
Journal ArticleDOI
High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes
Mary E. Martin,John D. Aber +1 more
TL;DR: In this article, the authors used the data from NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) to determine forest canopy chemistry at a spatial resolution of 20 m, and if so, to use that information to drive an ecosystem pro- ductivity model.
Journal ArticleDOI
Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data
TL;DR: In this paper, the authors analyzed airborne hyperspectral data for the classification of 11 forest cover types, including pure and mixed stands of deciduous and conifer species, using a maximum likelihood algorithm assigning all pixels in the image into one of the 11 categories.