Technical Program

Paper Detail

Paper: TUP1.PH.7
Session: Classification of Hyperspectral Data
Time: Tuesday, July 24, 10:10 - 11:10
Presentation:  Poster
Topic:  Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Classification and Clustering
Title:  IMPROVED ITERATIVE ERROR ANALYSIS USING SPECTRAL SIMILARITY MEASURES FOR VEGETATION CLASSIFICATION IN HYPERSPECTRAL IMAGES
Authors:  Ahram Song; Seoul National University 
 Yongil Kim; Seoul National University