FR2.W1: Techniques for Classification of Hyperspectral Images II |
| Session Type: Oral |
| Time: Friday, July 31, 10:30 - 12:10 |
| Location: White 1 |
| Session Chairs: Mauro Dalla Mura, Gipsa-lab Grenoble-INP and Bing Zhang, RADI |
| FR2.W1.1: TO BE OR NOT TO BE CONVEX? A STUDY ON REGULARIZATION IN HYPERSPECTRAL IMAGE CLASSIFICATION |
| Devis Tuia; University of Zurich |
| Remi Flamary; Université de Nice Sophia Antipolis |
| Michel Barlaud; Université de Nice Sophia Antipolis |
| FR2.W1.2: DEEP FEATURE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
| Jiming Li; Zhejiang Police College |
| Lorenzo Bruzzone; University of Trento |
| Sicong Liu; University of Trento |
| FR2.W1.3: ADAPTIVE SPARSE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
| Wei Li; Beijing University of Chemical Technology |
| Qian Du; Mississippi State University |
| FR2.W1.4: DEEP SUPERVISED LEARNING FOR HYPERSPECTRAL DATA CLASSIFICATION THROUGH CONVOLUTIONAL NEURAL NETWORKS |
| Konstantinos Makantasis; Technical University of Crete |
| Konstantinos Karantzalos; National Technical University of Athens |
| Anastasios Doulamis; National Technical University of Athens |
| Nikolaos Doulamis; National Technical University of Athens |
| FR2.W1.5: AN ENSEMBLE ACTIVE LEARNING APPROACH FOR SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGES |
| Zhou Zhang; Purdue University |
| Melba M. Crawford; Purdue University |
