PROCEEDINGS OF SPIE Front Matter: Volume 6565 - SPIE Digital Library
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
PROCEEDINGS OF SPIE
SPIEDigitalLibrary.org/conference-proceedings-of-spie
Front Matter: Volume 6565
, "Front Matter: Volume 6565," Proc. SPIE 6565, Algorithms and Technologies
for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 656501 (16
May 2007); doi: 10.1117/12.741104
Event: Defense and Security Symposium, 2007, Orlando, Florida, United
States
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021 Terms of Use: https://www.spiedigitallibrary.org/terms-of-usePROCEEDINGS OF SPIE
Algorithms and Technologies for
Multispectral, Hyperspectral, and
Ultraspectral Imagery XIII
Sylvia S. Shen
Paul E. Lewis
Chairs/Editors
9–12 April 2007
Orlando, Florida, USA
Sponsored and Published by
SPIE—The International Society for Optical Engineering
Volume 6565
The International Society
for Optical Engineering
SPIE is an international technical society dedicated to advancing engineering and scientific
applications ofProceedings
optical, photonic, imaging,
of SPIE—The electronic,
International andforoptoelectronic
Society technologies.
Optical Engineering,
9780819466877, v. 6565
SPIE is an international technical society dedicated to advancing engineering and scientific
applications of optical, photonic, imaging, electronic, and optoelectronic technologies.
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useThe papers included in this volume were part of the technical conference cited on the cover and title
page. Papers were selected and subject to review by the editors and conference program
committee. Some conference presentations may not be available for publication. The papers
published in these proceedings reflect the work and thoughts of the authors and are published herein
as submitted. The publisher is not responsible for the validity of the information or for any outcomes
resulting from reliance thereon.
Please use the following format to cite material from this book:
Author(s), "Title of Paper," in Algorithms and Technologies for Multispectral, Hyperspectral, and
Ultraspectral Imagery XIII, edited by Sylvia S. Shen, Paul E. Lewis, Proceedings of SPIE Vol. 6565 (SPIE,
Bellingham, WA, 2007) Article CID Number.
ISSN 0277-786X
ISBN 9780819466877
Published by
SPIE—The International Society for Optical Engineering
P.O. Box 10, Bellingham, Washington 98227-0010 USA
Telephone 1 360/676-3290 (Pacific Time)· Fax 1 360/647-1445
http://www.spie.org
Copyright © 2007, The Society of Photo-Optical Instrumentation Engineers
Copying of material in this book for internal or personal use, or for the internal or personal use of
specific clients, beyond the fair use provisions granted by the U.S. Copyright Law is authorized by SPIE
subject to payment of copying fees. The Transactional Reporting Service base fee for this volume is
$18.00 per article (or portion thereof), which should be paid directly to the Copyright Clearance
Center (CCC), 222 Rosewood Drive, Danvers, MA 01923. Payment may also be made electronically
through CCC Online at http://www.copyright.com. Other copying for republication, resale,
advertising or promotion, or any form of systematic or multiple reproduction of any material in this
book is prohibited except with permission in writing from the publisher. The CCC fee code is 0277-
786X/07/$18.00.
Printed in the United States of America.
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useContents
xi Conference Committee
SESSION 1 DETECTION AND IDENTIFICATION I
656502 Hyperspectral anomaly detection beyond RX [6565-01]
A. P. Schaum, Naval Research Lab. (USA)
656503 Beyond the adaptive matched filter: nonlinear detectors for weak signals in high-
dimensional clutter [6565-02]
J. Theiler, B. R. Foy, A. M. Fraser, Los Alamos National Lab. (USA)
656504 A comparative study of linear and nonlinear anomaly detectors for hyperspectral imagery
[6565-03]
H. Goldberg, Univ. of Maryland, College Park (USA); N. M. Nasrabadi, Army Research Lab.
(USA)
656505 Adaptive constrained signal detector for hyperspectral images [6565-04]
S. E. Johnson, Air Force Institute of Technology (USA); M. T. Eismann, Air Force Research Lab.
(USA)
656506 Anomaly detection in hyperspectral imagery: a comparison of methods using seasonal
data [6565-05]
P. Hytla, R. C. Hardie, Univ. of Dayton (USA); M. T. Eismann, J. Meola, Air Force Research
Lab. (USA)
656507 A theoretical framework for hyperspectral anomaly detection using spectral and spatial
a priori information [6565-06]
B. Yver, R. Marion, Commissariat à l'Energie Atomique (France)
656509 Target detection in high-dimensional space using a stochastic expectation maximization
algorithm [6565-80]
M. Karakaya, M. S. Alam, M. I. Elbakary, Univ. of South Alabama (USA)
Pagination: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on
CD-ROM. Papers are published as they are submitted and meet publication criteria. A unique, consistent, permanent citation
identifier (CID) number is assigned to each article at the time of the first publication. Utilization of CIDs allows articles to be fully
citable as soon they are published online, and connects the same identifier to all online, print, and electronic versions of the
publication. SPIE uses a six-digit CID article numbering system in which:
• The first four digits correspond to the SPIE volume number.
• The last two digits indicate publication order within the volume using a Base 36 numbering system employing both
numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-
2Z, etc.
The CID number appears on each page of the manuscript. The complete citation is used on the first page, and an
abbreviated version on subsequent pages.
iii
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useSESSION 2 SPECTRAL UNMIXING
65650A Hyperspectral target detection using independent component analysis based linear
mixture model [6565-10]
E. Sarigul, M. S. Alam, Univ. of South Alabama (USA)
65650B The impact of initialization procedures on unsupervised unmixing of hyperspectral imagery
using the constrained positive matrix factorization [6565-08]
Y. M. Masalmah, M. Vélez-Reyes, Univ. of Puerto Rico, Mayagüez (Puerto Rico)
SESSION 3 NOVEL SPECTRAL DATA REPRESENTATION AND PERFORMANCE ASSESSMENT TOOLS
65650C A hyperspectral image projector for hyperspectral imagers [6565-11]
J. P. Rice, S. W. Brown, J. E. Neira, R. R. Bousquet, National Institute of Standards and
Technology (USA)
65650D Sonification of hyperspectral image data [6565-12]
M. Bernhardt, C. Cowell, W. Oxford, Waterfall Solutions Ltd. (United Kingdom)
65650E New developments and application of the UPRM MATLAB hyperspectral image analysis
toolbox [6565-13]
S. Rosario-Torres, M. Vélez-Reyes, S. D. Hunt, L. O. Jiménez, Univ. of Puerto Rico, Mayagüez
(Puerto Rico)
65650F A hyperspectral model for target detection [6565-14]
M. Bernhardt, Waterfall Solutions Ltd. (United Kingdom); P. Clare, Defence Science and
Technology Lab. (United Kingdom); C. Cowell, M. Smith, Waterfall Solutions Ltd. (United
Kingdom)
65650G Hyperspectral data processing algorithm comparison software (HyperPACS) [6565-15]
D. R. Runnels, C. M. Leflore, Radiance Technologies, Inc. (USA); J. J. Dirbas, PAR
Government Systems Corp. (USA)
65650H Visualization of hyperspectral imagery [6565-16]
M. A. Hogervorst, P. Bijl, A. Toet, TNO Human Factors (Netherlands)
SESSION 4 SPECTRAL DATA ANALYSIS METHODOLOGIES I
65650I Spectral/spatial filter selection for illumination-invariant hyperspectral texture
discrimination [6565-17]
N. Nejati, G. Healey, Univ. of California, Irvine (USA)
65650J Anomaly detection using topology [6565-85]
B. Basener, E. J. Ientilucci, D. W. Messinger, Rochester Institute of Technology (USA)
65650L Integration of PCA and JPEG2000 for hyperspectral image compression [6565-20]
Q. Du, W. Zhu, Mississippi State Univ. (USA)
iv
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-use65650M Evaluation of PCA dimensionality reduction techniques in imaging spectroscopy for foreign
object detection [6565-83]
O. M. Conde, M. Amado, P. B. García-Allende, A. Cobo, J. M. López-Higuera, Univ. of
Cantabria (Spain)
SESSION 5 SENSOR DESIGN AND PERFORMANCE
65650N New grating designs for a CTIS imaging spectrometer [6565-21]
N. Hagen, E. L. Dereniak, Optical Sciences Ctr., Univ. of Arizona (USA)
65650O Reconfigurable liquid crystal dispersing element for a computed tomography imaging
spectrometer [6565-22]
C. Vandervlugt, College of Optical Sciences, Univ. of Arizona (USA); H. Masterson, Boulder
Nonlinear Systems, Inc. (USA); N. Hagen, E. L. Dereniak, College of Optical Sciences, Univ.
of Arizona (USA)
65650P Affordable spectropolarimetry with MANTIS-3T [6565-23]
J. Dirbas, A. Davies, PAR Government Systems Corp. (USA); J. Schoonmaker, G. Gilbert,
Advanced Coherent Technologies, LLC (USA); V. Contarino, NAVAIR (USA); M. Crowley,
PAR Government Systems Corp (USA)
65650Q Narrowband polarization in maritime imaging [6565-24]
G. Gilbert, J. Schoonmaker, Advanced Coherent Technologies LLC (USA); J. Dirbas,
A. Davies, PAR Government System Corp. (USA); I. Petrosyuk, Y. Podobna, Advanced
Coherent Technologies LLC (USA); M. Contarino, Naval Air Development Ctr. (USA)
65650R Laser multispectral polarimetric diffuse-scatter imaging [6565-25]
Y. Wang, B. Hu, H. Q. Le, Univ. of Houston (USA)
65650S High-performance Sagnac interferometer using uncooled detectors for infrared
hyperspectral applications [6565-26]
P. G. Lucey, K. Horton, T. Williams, Univ. of Hawaii (USA) and Pacific Island Technology
(USA); B. Denevi, Univ. of Hawaii (USA)
SESSION 6 SPECTRAL METHODOLOGIES AND APPLICATIONS I
65650U Hyperspectral image unmixing over benthic habitats [6565-28]
M. Vélez-Reyes, S. Rosario-Torres, J. A. Goodman, E. M. Alvira, A. Castrodad, Univ. of Puerto
Rico at Mayagüez (Puerto Rico)
65650V Terrain categorization using LIDAR and multispectral data [6565-29]
A. M. Puetz, R. C. Olsen, M. A. Helt, Naval Postgraduate School (USA)
65650W Scintillometer networks for calibration and validation of energy balance and soil moisture
remote sensing algorithms [6565-30]
J. M. H. Hendrickx, New Mexico Tech (USA); J. Kleissl, Univ. of California, San Diego (USA);
J. D. Gómez Vélez, S. Hong, New Mexico Tech (USA); J. R. Fábrega Duque, D. Vega, Univ.
Tecnológica de Panama (Panama); H. A. Moreno Ramírez, Escuela de Ingeniería de
Antioquia (Colombia); F. L. Ogden, Univ. of Wyoming (USA)
v
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-use65650X Automated recognition and detection of dismounts and vehicles using close-in urban
hyperspectral images [6565-82]
S. Karimkhan, K. Vongsy, A. K. Shaw, Wright State Univ. (USA); D. Wicker, Air Force Research
Lab. (USA)
SESSION 7 MODELING AND SIMULATION
65650Y A framework for polarized radiance signature prediction for natural scenes [6565-31]
C. Devaraj, S. Brown, D. Messinger, A. Goodenough, D. Pogorzala, Rochester Institute of
Technology (USA)
65650Z Recreation of a nominal polarimetric scene using synthetic modeling tools [6565-32]
D. Pogorzala, S. Brown, D. Messinger, C. Devaraj, Rochester Institute of Technology (USA)
656510 Multiband texture synthesis using histogram and power spectral density matching [6565-33]
S. Sarkar, G. Healey, Univ. of California, Irvine (USA)
656511 Radiometric modeling of cavernous targets to assist in the determination of absolute
temperature for input to process models [6565-34]
M. Montanaro, C. Salvaggio, S. D. Brown, D. W. Messinger, A. A. Goodenough, Rochester
Institute of Technology (USA); A. J. Garrett, E. Villa-Aleman, Savannah River National Lab.
(USA)
SESSION 8 SPECTRAL DATA ANALYSIS METHODOLOGIES II
656512 Fast multiscale regularization and segmentation of hyperspectral imagery via anisotropic
diffusion and algebraic multigrid solvers [6565-36]
J. M. Duarte-Carvajalino, Univ. of Puerto Rico, Mayagüez (Puerto Rico); G. Sapiro, Univ. of
Minnesota (USA); M. Vélez-Reyes, P. Castillo, Univ. of Puerto Rico, Mayagüez (Puerto Rico)
656513 Improving multispectral mapping by spectral modeling with hyperspectral signatures
[6565-37]
F. A. Kruse, Horizon GeoImaging, LLC (USA)
656514 Affine invariant and robust image registration/conflation algorithm [6565-38]
B. Kovalerchuk, Central Washington Univ. (USA)
656515 Hyperspectral change detection in high clutter using elliptically contoured distributions
[6565-84]
A. Schaum, E. Allman, J. Kershenstein, Naval Research Lab. (USA); D. Alexa, U.S. Civil Air
Patrol (USA)
656516 Change detection for hyperspectral imagery [6565-81]
K. Vongsy, S. Karimkhan, A. K. Shaw, Wright State Univ. (USA); D. Wicker, Air Force Research
Lab. (USA)
vi
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useSESSION 9 SPECTRAL DATA ANALYSIS METHODOLOGIES III
656517 Comparative study of state-of-the-art algorithms for hyperspectral image analysis
[6565-41]
C. Rivera-Borrero, S. D. Hunt, Univ. of Puerto Rico, Mayagüez (Puerto Rico)
656518 Modeling subpixel orientation effects for hyperspectral demixing [6565-42]
K. Chandra, G. Healey, Univ. of California, Irvine (USA)
656519 Gaussian smoothing of sparse spatial distributions as applied to informational difference
[6565-43]
Y. Ultchin, Institute for Advanced Research and Development (Israel) and Weizmann
Institute of Science (Israel); D. Sheffer, Institute for Advanced Research and Development
(Israel)
65651A An orthogonal subspace projection-based for estimation of virtual dimensionality for
hyperspectral data exploitation [6565-44]
W. Liu, C.-C. Wu, C.-I Chang, Univ. of Maryland, Baltimore (USA)
65651B Hyperspectral imagery transformations using real and imaginary features for improved
classification [6565-45]
A. Castrodad, E. H. Bosch, R. Resmini, National Geospatial-Intelligence Agency (USA)
SESSION 10 SENSOR SYSTEM CHARACTERIZATION AND CALIBRATION
65651C Wavelength calibration of hyperspectral sensors with 2D detector arrays [6565-46]
E. Lo, Susquehanna Univ. (USA); A. W. Fountain III, Aberdeen Proving Grounds (USA);
J. Ingram, U.S. Military Academy (USA)
65651D Processing misregistered hyperspectral data [6565-47]
J. T. Casey, Rochester Institute of Technology (USA); S. R. Lach, U.S. Air Force (USA) and
Rochester Institute of Technology (USA); J. P. Kerekes, Rochester Institute of Technology
(USA)
65651E Median spectral-spatial bad pixel identification and replacement for hyperspectral SWIR
sensors [6565-48]
A. D. Fischer, NovaSol (USA); T. V. Downes, R. Leathers, Naval Research Lab. (USA)
65651F Spatial misregistration detection for hyperspectral sensor using in-flight data [6565-49]
F. Dell'Endice, J. Nieke, D. Schläpfer, K. I. Itten, Univ. of Zürich (Switzerland)
65651G Co-registration of multispectral images for enhanced target recognition [6565-50]
F. Khaghani, R. J. Nelson, Solid State Scientific Corp. (USA)
SESSION 11 ATMOSPHERIC INSTRUMENTATION, MEASUREMENTS, AND FORECASTING
65651H Recent theoretical advances in analysis of AIRS/AMSU sounding data [6565-51]
J. Susskind, NASA Goddard Space Flight Ctr. (USA)
65651I Utility of AIRS retrievals for climate studies [6565-52]
G. I. Molnar, J. Susskind, GEST/UMBC and NASA Goddard Space Flight Ctr. (USA)
vii
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-use65651J The impact of atmospheric infrared sounder (AIRS) profiles on short-term weather forecasts
[6565-53]
B. T. Zavodsky, Univ. of Alabama in Huntsville (USA); S.-H. Chou, G. Jedlovec, W. Lapenta,
NASA Marshall Space Flight Ctr. (USA)
65651K Retrieval of atmospheric sulfur dioxide and nitric acid using the atmospheric infrared
sounder (AIRS) [6565-54]
S. Hannon, L. L. Strow, Univ. of Maryland, Baltimore County (USA)
65651L Analysis of SO2 point source emissions using NASA atmospheric infrared sounder data
[6565-55]
S. S. Shen, The Aerospace Corp. (USA); D. P. Miller, Northrop Grumman/TASC (USA);
P. E. Lewis, National Geospatial-Intelligence Agency (USA)
65651M Advanced remote-sensing imaging emission spectrometer (ARIES): system-level design
tradeoffs [6565-56]
T. S. Pagano, H. H. Aumann, M. T. Chahine, F. G. O'Callaghan, Jet Propulsion Lab. (USA)
65651N Recent progress in neural network estimation of atmospheric profiles using microwave and
hyperspectral infrared sounding data in the presence of clouds [6565-57]
W. J. Blackwell, F. W. Chen, MIT Lincoln Lab. (USA)
SESSION 12 ATMOSPHERIC CHARACTERIZATION AND CORRECTION
65651O Using the MODTRAN5 radiative transfer algorithm with NASA satellite data: AIRS and SORCE
[6565-58]
G. P. Anderson, U.S. Air Force Research Lab. (USA); A. Berk, Spectral Sciences, Inc. (USA);
J. H. Chetwynd, U.S. Air Force Research Lab. (USA); J. Harder, J. M. Fontenla, Univ. of
Colorado, Boulder (USA); E. P. Shettle, Naval Research Lab. (USA); R. Saunders, Met Office
(United Kingdom); H. E. Snell, Atmospheric and Environmental Research, Inc. (USA);
P. Pilewskie, B. C. Kindel, Univ. of Colorado, Boulder (USA); J. A. Gardner, M. L. Hoke,
G. W. Felde, R. B. Lockwood, U.S. Air Force Research Lab. (USA); P. K. Acharya, Spectral
Sciences, Inc. (USA)
65651P Atmospheric compensation of extreme off-nadir hyperspectral imagery from Hyperion
[6565-59]
S. M. Adler-Golden, L. S. Bernstein, M. W. Matthew, R. L. Sundberg, Spectral Sciences, Inc.
(USA); A. J. Ratkowski, Air Force Research Lab. (USA)
65651Q Error analysis for a temperature and emissivity retrieval algorithm for hyperspectral imaging
data [6565-60]
C. Borel, Ball Aerospace and Technologies Corp. (USA)
65651R Correlated-k-based method for fast generation of bandpass radiance and transmittance
look-up-tables [6565-62]
P. Acharya, A. Berk, R. Panfili, S. M. Adler-Golden, Spectral Sciences, Inc. (USA);
A. Wetmore, R. Shirkey, Army Research Lab. (USA)
viii
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useSESSION 13 DETECTION AND IDENTIFICATION II
65651S Analysis of hyperspectral change detection as affected by vegetation and illumination
variations [6565-63]
J. Meola, M. T. Eismann, K. J. Barnard, Air Force Research Lab. (USA); R. C. Hardie, Univ. of
Dayton (USA)
65651T Use of spectral clustering to enhance clutter suppression for hyperspectral change
detection [6565-64]
M. T. Eismann, J. Meola, Air Force Research Lab. (USA)
65651U Resampling approach for anomalous change detection [6565-65]
J. Theiler, Los Alamos National Lab. (USA); S. Perkins, UltraSpectral, Inc. (USA)
65651V An FPGA implementation of image space reconstruction algorithm for hyperspectral
imaging analysis [6565-66]
J. Morales, N. G. Santiago, A. Fernandez, Univ. de Puerto Rico, Mayagüez (Puerto Rico)
65651W Maintaining CFAR operation in hyperspectral target detection using extreme value
distributions [6565-67]
D. Manolakis, D. Zhang, M. Rossacci, MIT Lincoln Lab. (USA); R. Lockwood, T. Cooley, Air
Force Research Lab. (USA); J. Jacobson, National Air and Space Intelligence Ctr. (USA)
65651X Improved forward floating selection algorithm for chicken contaminant detection in
hyperspectral imagery [6565-79]
S. Nakariyakul, D. P. Casasent, Carnegie Mellon Univ. (USA)
SESSION 14 SPECTRAL METHODOLOGIES AND APPLICATIONS II
65651Y Detecting changes in scenes using autonomous smart cameras [6565-69]
H. M. Jaenisch, dtech Systems Inc. (USA); J. W. Handley, Axiom Corp. (USA); M. L. Hicklen,
dtech Systems Inc. (USA)
65651Z PM10 retrieval in urban area from space [6565-70]
H. S. Lim, M. Z. MatJafri, K. Abdullah, N. M. Saleh, Univ. Sains Malaysia (Malaysia)
656520 PM10 retrieval over the water surface of Penang Straits from Landsat TM5 data [6565-71]
H. S. Lim, M. Z. MatJafri, K. Abdullah, N. M. Saleh, S. A. Hashim, Univ. Sains Malaysia
(Malaysia)
SESSION 15 SCENE BACKGROUND CHARACTERIZATION
656521 Modeling the effects of atmospheric propagation for spectral libraries of natural
backgrounds [6565-72]
M. A. Glennon, Boston College (USA); G. Anderson, Air Force Research Lab. (USA);
D. Manolakis, MIT Lincoln Lab. (USA); R. Lockwood, Air Force Research Lab. (USA);
P. Grigsby, J. Jacobson, National Air and Space Intelligence Ctr. (USA); J. Cipar, T. Cooley,
Air Force Research Lab. (USA)
ix
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-use656522 Random sampling statistical analysis for adaptive target-scale-invariant hyperspectral
anomaly detection [6565-73]
J. M. Romano, U.S. Army Armament Research and Development Ctr. (USA); D. Rosario, U.S.
Army Research Lab. (USA)
656523 A comparative study and analysis between vertex component analysis and orthogonal
subspace projection for endmember extraction [6565-74]
C.-C. Wu, W. Liu, Univ. of Maryland, Baltimore (USA); H. Ren, National Central Univ. (Taiwan);
C.-I Chang, Univ. of Maryland, Baltimore (USA)
656524 Impact of missing endmembers on the performance of the OSP detector for hyperspectral
images [6565-75]
P. Bajorski, Rochester Institute of Technology (USA)
656525 Statistical models for LWIR hyperspectral backgrounds and their applications in chemical
agent detection [6565-76]
D. Manolakis, L. G. Jairam, D. Zhang, M. Rossacci, MIT Lincoln Lab. (USA)
656526 Fast implementation of N-FINDR algorithm for endmember determination in hyperspectral
imagery [6565-78]
A. Chowdhury, M. S. Alam, Univ. of South Alabama (USA)
Author Index
x
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useConference Committee
Symposium Chair
John C. Carrano, Luminex Corporation (USA)
Symposium Cochair
Larry B. Stotts, DARPA (USA)
Program Track Chair
Ivan Kadar, Interlink Systems Sciences, Inc. (USA)
Conference Chairs
Sylvia S. Shen, The Aerospace Corporation (USA)
Paul E. Lewis, National Geospatial-Intelligence Agency (USA)
Program Committee
Gail P. Anderson, Air Force Research Laboratory (USA)
Hsiao-hua K. Burke, MIT Lincoln Laboratory (USA)
Chein-I Chang, University of Maryland, Baltimore County (USA)
Eustace L. Dereniak, College of Optical Sciences, The University of Arizona
(USA)
Michael T. Eismann, Air Force Research Laboratory (USA)
Glenn E. Healey, University of California, Irvine (USA)
Robert T. Kroutil, Los Alamos National Laboratory (USA)
Fred A. Kruse, Horizon GeoImaging, LLC (USA)
Alan P. Schaum, Naval Research Laboratory (USA)
Joel Susskind, NASA Goddard Space Flight Center (USA)
Grady H. Tuell, Optech International, Inc. (Canada)
Miguel Vélez-Reyes, Universidad de Puerto Rico Mayagüez (Puerto Rico)
Session Chairs
1 Detection and Identification I
Sylvia S. Shen, The Aerospace Corporation (USA)
2 Spectral Unmixing
Glenn E. Healey, University of California, Irvine (USA)
3 Novel Spectral Data Representation and Performance Assessment Tools
Paul E. Lewis, National Geospatial-Intelligence Agency (USA)
xi
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-use4 Spectral Data Analysis Methodologies I
Miguel Vélez-Reyes, Universidad de Puerto Rico Mayagüez (Puerto Rico)
5 Sensor Design and Performance
Eustace L. Dereniak, College of Optical Sciences, The University of Arizona
(USA)
6 Spectral Methodologies and Applications I
Miguel Vélez-Reyes, Universidad de Puerto Rico Mayagüez (Puerto Rico)
7 Modeling and Simulation
Gail P. Anderson, Air Force Research Laboratory (USA)
8 Spectral Data Analysis Methodologies II
Fred A. Kruse, Horizon GeoImaging, LLC (USA)
9 Spectral Data Analysis Methodologies III
Glenn E. Healey, University of California, Irvine (USA)
10 Sensor System Characterization and Calibration
Fred A. Kruse, Horizon GeoImaging, LLC (USA)
11 Atmospheric Instrumentation, Measurements, and Forecasting
Joel Susskind, NASA Goddard Space Flight Center (USA)
12 Atmospheric Characterization and Correction
Gail P. Anderson, Air Force Research Laboratory (USA)
13 Detection and Identification II
Michael T. Eismann, Air Force Research Laboratory (USA)
14 Spectral Methodologies and Applications II
Paul E. Lewis, National Geospatial-Intelligence Agency (USA)
15 Scene Background Characterization
Sylvia S. Shen, The Aerospace Corporation (USA)
xii
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 25 Feb 2021
Terms of Use: https://www.spiedigitallibrary.org/terms-of-useYou can also read
