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1 edition of Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV found in the catalog.

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV

Sylvia S. Shen

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV

13-16 April 2009, Orlando, Florida, United States

by Sylvia S. Shen

  • 184 Want to read
  • 16 Currently reading

Published by SPIE in Bellingham, Wash .
Written in English


Edition Notes

Includes bibliographical references and author index.

StatementSylvia S. Shen, Paul E. Lewis, editors ; sponsored and published by SPIE
SeriesProceedings of SPIE -- v. 7334, Proceedings of SPIE--the International Society for Optical Engineering -- v. 7334.
ContributionsSPIE (Society)
Classifications
LC ClassificationsG70.39 .A447 2009
The Physical Object
Pagination1 v. (various pagings) :
ID Numbers
Open LibraryOL24416120M
ISBN 100819476005
ISBN 109780819476005
LC Control Number2010459332
OCLC/WorldCa428088982

  Hyperspectral Projection of a Coral Reef Scene using the NIST Hyperspectral Image Projector. Published. June 1, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Conference Dates. April , Conference Location. Orlando, : David W. Allen, Joseph P. Rice, James A. Goodman. Feature selection for spectral sensors with overlapping noisy spectral bands. In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII [] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. II).Cited by: 7. Proceeding, SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Volume , and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or .


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Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV by Sylvia S. Shen Download PDF EPUB FB2

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV Editor(s): Sylvia S. Shen; Paul E. Lewis For the purchase of this volume in printed format, please visit Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII (Proceedings of Spie) [Sylvia S.

Shen, Paul E. Lewis] on *FREE*. Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI Editor(s): Sylvia S. Shen; Michael R. Descour *This item is only available on the SPIE Digital Library. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV Monday - Thursday 13 - 16 April Title:Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV Desc:Proceedings of a meeting held AprilOrlando, Florida, SPIE Defense, Security, and Sensing Series:Proceedings of SPIE Volume Editor:Shen, Sylvia S.

ISBN Pages (1 Vol) (approx) Format:Softcover Publ:SPIE - International Society for Optics and. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX Editor(s): Miguel Velez-Reyes ; Fred A.

Kruse For the purchase of this volume in printed format, please visit Get this from a library. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery X: April,Orlando, Florida, USA.

[Sylvia S Shen; Paul E Lewis; Society of Photo-optical Instrumentation Engineers.;]. The aim of this special issue is to advance the capabilities of algorithms and analysis technologies for multispectral and hyperspectral imagery by addressing some of the above-mentioned critical issues.

We have received many submissions and selected six papers after careful and rigorous peer by: 3. Volume Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI Chairs/Editors: Sylvia S. Shen, Paul E. Lewis Conference Committee DETECTION AND IDENTIFICATION I Matched filter stochastic background characterization for hyperspectral target detection [].

Alan P. Schaum. Physicist at US Naval Research Lab. SPIE Involvement: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV. KEYWORDS: Target detection, Information fusion, Mathematical modeling, Coastal modeling, Detection and tracking algorithms, Data modeling, Opacity, Sensors, Target.

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV. Society of Photo Optical (OCoLC) Material Type: Conference publication, Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Sylvia S Shen; Paul E Lewis; SPIE (Society).

Proc. SPIE.Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII 25 April | Orlando, Florida, United States Imaging Spectrometry XV.

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV 13 April | Orlando, Florida, United States Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV. Conference: Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Volume: Cite this publication Leidy Dorado.

Dr. Grady H. Tuell. President at 3D Ideas LLC. SPIE Involvement: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV.

16 April | Baltimore, Maryland, United States. In Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV, SPIE (Vol.pp.

Kumar, V., Ghosh, J.K. Objects Detection in Hyperspectral Images Using Spectral Derivative. J Indian Soc Remote S – ( Cited by: 3. in Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Proceedings of SPIE, Orlando, Fla, USA, Google Scholar J.

Settle, "On constrained energy minimization and the partial unmixing of multispectral images," IEEE Transactions on Geoscience and Remote Sensing, vol.

40, no. 3, pp Author: CohenYuval, AugustYitzhak, G BlumbergDan, R RotmanStanley. HyperSpectral Matlab Toolbox forked from Sourceforge - davidkun/HyperSpectralToolbox.

% Algorithms for Hyperspectral Imagery." SPIE Algorithms and Technologies % for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Vol % [p, N] = size(M). Manolakis, D. et al. “Is there a best hyperspectral detection algorithm?.” Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV.

Cited by: "A Comparative Study of Target Detection % Algorithms for Hyperspectral Imagery." SPIE Algorithms and Technologies % for Multispectral, Hyperspectral, and Ultraspectral Imagery XV.

Get this from a library. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XI: 28 March-1 April,Orlando, Florida, USA. [Sylvia S Shen; Paul E Lewis; Society of Photo-optical Instrumentation Engineers.; Ball Aerospace & Technologies Corporation (USA);].

Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications: Volume III: OctoberIncheon, Korea, Republic of Paperback – See all formats and editions Hide other formats and editions. Price New from Used from Format: Paperback.

Arctic Sensor Networks - Softward Defined Multi-spectral Imager - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII Presentation (PDF Available) April Author: Sam Siewert.

Camouflage Detection Using MWIR Hyperspectral Images. Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery XV, SPIE. Paluchowski, L., & Walczykowski, P. Preliminary hyperspectral band Cited by: 2.

Add tags for "Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XX: MayBaltimore, Maryland, United States". Be the first. Similar Items. Multispectral imaging has also found use in document and painting analysis. Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands.

Hyperspectral imaging is a special case of spectral imaging where often hundreds of contiguous spectral bands are available. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIV: MarchOrlando, Florida, USA.

joint spatial-spectral modeling of multispectral imagery, and a multivariate parametric clustering algorithm for anomaly detection. Resul ts proved that this model improved the detection over spectral. Overview Hyperspectral signal and image processing has become a fast-growing area that bridges communities of remote sensing and signal/image processing due to the fact that many problems arising in - Selection from Hyperspectral Data Processing: Algorithm Design and Analysis [Book].

Conference: Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Volume: Cite this publication Andrea Santos-Garcia. The Target Detection Wizard guides you through the process to find targets in hyperspectral or multispectral images.

The targets may be a material or mineral of interest (such as Alunite) or they may be man-made objects (such as military vehicles). To start the wizard, select Target Detection > Target Detection Wizard from the Toolbox. The Wizard guides you through the following target.

Manolakis, R. Lockwood, T. Cooley et al., “Is there a best hyperspectral detection algorithm?” in Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Proceedings of SPIE, Orlando, Fla, USA, View at: Google ScholarCited by: RIS Citation TY - CPAPER ID - cad AU - Cairns, B.

AU - Carlson, B. AU - Ying, R. AU - LaVeigne, J. PY - TI - Accuracy vs speed: Evaluation of tradeoffs in atmospheric correction methods BT - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, 1 Apr.Orlando, Fla.

T3 - Proc. SPIE VL - SP - DO - /. Ultraspectral Imagery XV, Orlando, FL, April 10 Claim 3: Formulas (5) and (6) in [4] (and the remaining part of that pape r) deal with the issue of testing. hyperspectral and multispectral imagers.

It projects a two-dimensional image into the unit under test (UUT), whereby each pixel can have an independently programmable arbitrary spectrum. To efficiently project a single frame of dynamic realistic hyperspectral imagery through the collimator into the UUT, a compression algorithm has beenCited by: 8.

InDr. Velez-Reyes was elected Fellow of SPIE for his contributions to hyperspectral remote sensing. He is a senior member of the IEEE.

Velez-Reyes is the Chair of the SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery. Call for Papers and Announcement Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII (OR52) Part of SPIE’s International Defense and Security Symposium April • Gaylord Palms Resort and Convention Center • Orlando (Kissimmee), FL, USA.

Save my name, email, and website in this browser for the next time I comment. where k = is the central wavelength of the k th spectral channel, (k)= is the pixel surface re ectance,e (k)= is an average surface re ectance for the surrounding region, S (k)= is the spherical albedo of the atmosphere,L a (k)= is the radiance scattered by the atmosphere without reaching the surface, A (k),B(k)= are coef cients that depend on atmospheric and geometric conditions.

Snapshot hyperspectral imaging: the hyperpixel array camera Type: Conference Paper: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV: Conference Name: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV: Place: Orlando, FL, USA: Publisher.RIS Citation TY - CPAPER ID - lau AU - LaVeigne, J.

D. AU - Cairns, B. AU - Granneman, R. D. AU - Rael, A. PY - TI - Airborne hyperspectral BRDF measurements using the HyperSpecTIR instrument BT - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 12 Apr.Orlando, Fla.

T3 - Proc. SPIE VL - SP - DO - / .Auto-adaptive Harris Corner Detection Algorithm Based on Entropy-improved Block Processing. Journal Name Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV Book Title Proceeding of SPIE Hyperspectral, and Ultraspectral Imagery XXIV Conference Location.