Technical Program

Paper Detail

Paper:MOP.PF.9
Session:Analysis of Hyperspectral Data
Time:Monday, July 27, 17:20 - 19:00
Presentation: Poster
Topic: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Feature Extraction and Reduction
Title: A NONLINEAR FEATURE SELECTION METHOD BASED ON KERNEL SEPARABILITY MEASURE FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Authors: Pei-Jyun Hsieh; National Taichung University of Education 
 Cheng-Hsuan Li; National Taichung University of Education 
 Bor-Chen Kuo; National Taichung University of Education