TU3.W2: Feature Selection Techniques in Hyperspectral Imagery |
| Session Type: Oral |
| Time: Tuesday, July 28, 13:30 - 15:10 |
| Location: White 2 |
| Session Chairs: Mauro Dalla Mura, Gipsa-lab Grenoble-INP and Saurabh Prasad, Univ. of Houston |
| [View Video] TU3.W2.1: SUBSPACE CLASS-DEPENDENT SPARSE REPRESENTATION FOR AIRBORNE AND TERRESTRIAL HYPERSPECTRAL IMAGE ANALYSIS |
| Minshan Cui; University of Houston |
| Saurabh Prasad; University of Houston |
| [View Video] TU3.W2.2: A NOVEL METHOD FOR FEATURE SELECTION WITH RANDOM SAMPLING HDMR AND ITS APPLICATION TO HYPERSPECTRAL IMAGE CLASSIFICATION |
| Gulsen Taskin; Istanbul Technical University |
| Huseyin Kaya; Istanbul Technical University |
| Lorenzo Bruzzone; University of Trento |
| [View Video] TU3.W2.3: A RANDOM FOREST CLASS MEMBERSHIPS BASED WRAPPER BAND SELECTION CRITERION : APPLICATION TO HYPERSPECTRAL |
| Arnaud Le Bris; IGN France |
| Nesrine Chehata; Bordeaux INP |
| Xavier Briottet; ONERA |
| Nicolas Paparoditis; IGN France |
| [View Video] TU3.W2.4: AN ENHANCED DENSITY PEAK-BASED CLUSTERING APPROACH FOR HYPERSPECTRAL BAND SELECTION |
| Guihua Tang; Shenzhen University |
| Sen Jia; Shenzhen University |
| Jun Li; Sun Yat-sen University |
| [View Video] TU3.W2.5: FEATURE SPACE DIMENSIONALITY REDUCTION FOR THE OPTIMIZATION OF VISUALIZATION METHODS |
| Andreea Griparis; Politehnica University of Bucharest |
| Daniela Faur; Politehnica University of Bucharest |
| Mihai Datcu; German Aerospace Center (DLR) |
