My IGARSS 2012 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WEP.P: Applications of Hyperspectral Imagery

Session Type: Poster
Time: Wednesday, July 25, 17:20 - 19:00
Location: Poster Area
Session Chairs: Peijun Li, Peking University and Alberto Villa, Aresys
 
  WEP.P.WEP.P.202: RICE GROWTH STATE ESTIMATION BY HYPERSPECTRAL MANIFOLD LEARNING
         Kuniaki Uto; Tokyo Institute of Technology
         Takahiro Harano; Tokyo Institute of Technology
         Yukio Kosugi; Tokyo Institute of Technology
 
  WEP.P.WEP.P.203: THE APPLICATION OF FIELD IMAGING SPECTROMETER SYSTEM(FISS) IN ARCHEOLOGY OF ANCIENT COPPER SMELTING SITE
         Qingting Li; Center for Earth Observation and Digital Earth, CAS
         Linlin Lu; Center for Earth Observation and Digital Earth, CAS
         Xue Liu; Institute of Remote Sensing Applications, CAS
         Qingxi Tong; Institute of Remote Sensing Applications, CAS
 
  WEP.P.WEP.P.204: ESTIMATING SOIL CARBON CONTENT IN DIVERSE ECOSYSTEMS BASED ON HYPERSPECTRAL ANALYSIS
         Yoshio Inoue; National Institute for Agro-Environmental Sciences
         Xiaochun Zhi; University of Tsukuba
 
  WEP.P.WEP.P.205: THE SPECTRAL REFLECTANCE OF SHIP WAKES BETWEEN 400 AND 900 NANOMETERS
         Robert Wright; University of Hawaii at Monoa
         Justin Deloatch; Elizabeth City State University
         Stephanie Osgood; Elizabeth City State University
         Jinchun Yuan; Elizabeth City State University
 
  WEP.P.WEP.P.206: DETERMINATION OF LIGNIN CONTENT IN NORWAY SPRUCE FOLIAGE USING NIR SPECTROSCOPY AND HYPERSPECTRAL DATA
         Lucie Kupková; Charles University in Prague
         Markéta Potůčková; Charles University in Prague
         Michaela Buřičová; Charles University in Prague
         Veronika Kopačková; Czech Geological Survey
         Zuzana Lhotáková; Charles University in Prague
         Jana Albrechtová; Charles University in Prague
 
  WEP.P.WEP.P.207: QUANTIFYING THE UNCERTAINTIES IN THE USE OF REMOTELY-SENSED HYPERSPECTRAL IMAGERY FOR MONITORING DUST
         Cindy Ong; Commonwealth Scientific and Industrial Research Organisation
 
  WEP.P.WEP.P.208: QUANTITATIVE MAPPING OF SURFACE SOIL MOISTURE WITH HYPERSPECTRAL IMAGERY USING THE HYSOMA INTERFACE
         Sabine Chabrillat; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
         Michael Whiting; University of California, Davis
         Stephane Guillaso; Berlin University of Technology
         Andreas Eisele; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
         Soeren-Nils Haubrock; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
         Hermann Kaufmann; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
 
  WEP.P.WEP.P.209: EVALUATION OF NON-LINEAR SPECTRORADIOMETRIC MODELLING FOR CLASSIFICATION OF SAVANNA GRASS SPECIES
         Nichola Knox; SANSA
         Andrew K. Skidmore; University Twente
         Paida Mangara; SANSA
 
  WEP.P.WEP.P.210: THE IMPORTANCE OF SPATIAL, SPECTRAL AND TEMPORAL CONSTRAINTS FOR A HYPERSPECTRAL MODELING OF VEGETATIONAL CONTINUUM AND HABITAT ASSESSMENT PARAMETER
         Carsten Neumann; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
         Sibylle Itzerott; Helmholtz Center Potsdam - GFZ German Research Center for Geosciences
         Gabriele Weiss; Ecostrat GmbH
 
  WEP.P.WEP.P.211: GENETIC ALGORITHM BASED NEW SEQUENCE OF PRINCIPAL COMPONENT REGRESSION (GA-NSPCR) FOR FEATURE SELECTION AND YIELD PREDICTION USING HYPERSPECTRAL REMOTE SENSING DATA
         Sidik Mulyono; Universitas Indonesia
         Mohamad Ivan Fanany; Universitas Indonesia
         T Basaruddin; Universitas Indonesia