Technical Program

Paper Detail

Paper: WEP1.PF.8
Session: Hyperspectral Data Processing I
Time: Wednesday, July 25, 10:10 - 11:10
Presentation:  Poster
Topic:  Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Feature Extraction and Reduction
Title:  A NOVEL DEEP LEARNING FRAMEWORK BY COMBINATION OF SUBSPACE-BASED FEATURE EXTRACTION AND CONVOLUTIONAL NEURAL NETWORKS FOR HYPERSPECTRAL IMAGES CLASSIFICATION
Authors:  Tayeb Alipourfard; University of Tehran 
 Hossein Arefi; University of Tehran 
 Somayeh Mahmoudi; Kerman Graduate University of Advanced Technology