My IGARSS 2014 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.

TUP.F: Image Classification

Session Type: Poster
Time: Tuesday, July 15, 17:20 - 19:00
Location: Poster Area F
Session Chairs: Francesca Bovolo, University of Trento and Nathan Longbotham, Digital Globe
 
  TUP.F.33: REDUCED SET OF TRAINING DATA TO IMPROVE THE EFFICIENCY OF THE SVM CLASSIFIER
         Peterson Sarmento; Instituto Nacional de Pesquisas Espaciais
         Luciano Dutra; Instituto Nacional de Pesquisas Espaciais
         Guaraci Erthal; Instituto Nacional de Pesquisas Espaciais
 
  TUP.F.34: A STEPWISE REFINEMENT CLASSIFICATION METHOD OF REMOTE SENSING IMAGE BASED ON FEEDBACK STRATEGIES
         Xianchuan Yu; Beijing Normal University
         Shanshan Bian; Beijing Normal University
         Xin Zhou; Beijing Normal University
         Guian Wang; Beijing Normal University
         Hui He; Beijing Normal University
         Weijie An; Beijing Normal University
 
  TUP.F.35: SIMULTANEOUS REMOTE SENSING IMAGE CLASSIFICATION AND ANNOTATION BASED ON THE SPATIAL COHERENT TOPIC MODEL
         Zheng Zhang; Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences
         Michael Ying Yang; Institute for Information Processing (TNT), Leibniz University Hannover, Germany
         Mei Zhou; Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences
         Xiang-zhao Zeng; Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences
 
  TUP.F.36: NONNEGATIVE AND LOCAL LINEAR REGRESSION FOR CLASSIFICATION IN SAR IMAGERY
         Ganggang Dong; National University of Defense Technology
         Gangyao Kuang; National University of Defense Technology
         Linjun Zhao; National University of Defense Technology
         Jun Lu; National University of Defense Technology
         Min Lu; National University of Defense Technology
 
  TUP.F.37: MULTI-IMAGE ENSEMBLE CLASSIFICATION
         Anders Knudby; Simon Fraser University
         Zulybeth Acevedo; Simon Fraser University
         Peter Chow; Simon Fraser University
         Linus Hammar; Stockholm University
         Linda Eggertsen; Stockholm University
         Martin Gullström; Stockholm University
 
  TUP.F.38: SEMI-SUPERVISED LOCAL DISCRIMINANT ANALYSIS WITH NEAREST NEIGHBORS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Chih-Sheng Chang; National Taichung University of Education
         Kai-Ching Chen; National Taichung University of Education
         Bor-Chen Kuo; National Taichung University of Education
         Min-Shian Wang; National Taichung University of Education
         Cheng-Hsuan Li; National Taichung University of Education
 
  TUP.F.39: AN APPLICATION OF MULTIPLE SPACE NEAREST NEIGHBOR CLASSIFIER IN LAND COVER CLASSIFICATION
         Flávia Martins-Bedê; Brazilian National Institute for Space Research
         Mariane Souza Reis; Brazilian National Institute for Space Research
         Eliana Pantaleão; Brazilian National Institute for Space Research
         Luciano Dutra; Brazilian National Institute for Space Research
         Sandra Sandri; Brazilian National Institute for Space Research
 
  TUP.F.40: AGRICULTURAL FIELD DELIMITATION USING ACTIVE LEARNING AND RANDOM FORESTS MARGIN
         Karim Ghariani; INSAT
         Nesrine Chehata; IRD - LISAH
         Arnaud Le-Bris; IGN
         Philippe Lagacherie; INRA - LISAH