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.

TH4.L1: Image Classification II

Session Type: Oral
Time: Thursday, July 27, 16:20 - 18:00
Location: Ballroom B
Session Chairs: Qian Du, Mississippi State University and Fabio Del Frate, University of Rome Tor Vergata
 
  TH4.L1.1: USING BAYESIAN OPTIMIZATION TO JOINTLY TUNE THE CLASSIFIER AND THE RANDOM FIELD FOR SPATIAL-SPECTRAL HYPERSPECTRAL CLASSIFICATION
         Utsav Gewali; Rochester Institute of Technology
         Sildomar Monteiro; Rochester Institute of Technology
 
  TH4.L1.2: LARGE SCALE CROP CLASSIFICATION USING GOOGLE EARTH ENGINE PLATFORM
         Andrii Shelestov; Space Research Institute
         Mykola Lavreniuk; Space Research Institute
         Nataliia Kussul; Space Research Institute
         Alexei Novikov; National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”
         Sergii Skakun; University of Maryland
 
  TH4.L1.3: SUPERPIXEL-BASED CLASSIFICATION USING SEMANTIC INFORMATION FOR POLARIMETRIC SAR IMAGERY
         Shuai Yang; China University of Geosciences, Wuhan
         Qianqian Zhang; State Bureau of Surveying and Mapping of China
         Xiaohui Yuan; University of North Texas
         Qihao Chen; China University of Geosciences, Wuhan
         Xiuguo Liu; China University of Geosciences, Wuhan
 
  TH4.L1.4: MAXIMUM VARIANCE UNFOLDING BASED CO-LOCATION DECISION TREE FOR REMOTE SENSING IMAGE CLASSIFICATION
         Rongting Zhang; Tianjin University
         Guoqing Zhou; Guilin University of Technology
         Jingjin Huang; Tianjin University
         Xiang Zhou; Tianjin University
 
  TH4.L1.5: DYNAMIC GRANULAR NEURAL NETWORKS FOR REMOTE SENSING IMAGE CLASSIFICATION
         Arun Kumar Dasari; Jawaharlal Nehru Technological University, Kakinada
         Padma Kumari K; Jawaharlal Nehru Technological University, Kakinada
         Saroj Kumar Meher; INDIAN STATISTICAL INSTITUTE BANGALORE CENTER
 
©2024 IEEE.
Last updated Thursday, June 22, 2017
Site by Conference Management Services, Inc.
Support: webmaster@igarss2017.org