Login Paper Search My Schedule Paper Index Help

My IGARSS 2017 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.

MO3.L6: Spectral Unmixing Techniques I

Session Type: Oral
Time: Monday, July 24, 13:40 - 15:20
Location: Room 202 CD
Session Chairs: Mario Parente, University of Massachusetts Amherst and Rob Heylen, University of Antwerp
 
  MO3.L6.1: ON THE DIRECT ASSESSMENT OF ENDMEMBER FRACTIONS IN HYPERSPECTRAL IMAGES
         Andrea Marinoni; University of Pavia
         Paolo Gamba; University of Pavia
 
  MO3.L6.2: AN INTRODUCTION TO ABUNDANCE MAP REFERENCE DATA, WITH APPLICATIONS IN SPECTRAL UNMIXING
         Mckay Williams; Rochester Institute of Technology
         Kelly Patterson; Rochester Institute of Technology
         John Kerekes; Rochester Institute of Technology
         Jan van Aardt; Rochester Institute of Technology
 
  MO3.L6.3: NONNEGATIVE SPARSE AUTOENCODER FOR ROBUST ENDMEMBER EXTRACTION FROM REMOTELY SENSED HYPERSPECTRAL IMAGES
         Yuanchao Su; Sun Yat-sen University
         Andrea Marinoni; Università degli Studi di Pavia
         Jun Li; Sun Yat-sen University
         Antonio Plaza; University of Extremadura
         Paolo Gamba; Università degli Studi di Pavia
 
  MO3.L6.4: SPECTRAL UNMIXING THROUGH PART-BASED NON-NEGATIVE CONSTRAINT DENOISING AUTOENCODER
         Ying Qu; The University of Tennessee
         Rui Guo; The University of Tennessee
         Hairong Qi; The University of Tennessee
 
  MO3.L6.5: PIXEL PURITY VERTEX COMPONENT ANALYSIS
         Rob Heylen; University of Antwerp
         Mario Parente; University of Massachusetts
         Paul Scheunders; University of Antwerp
 
©2024 IEEE.
Last updated Thursday, June 22, 2017
Site by Conference Management Services, Inc.
Support: webmaster@igarss2017.org