| Session Title | TU1.R5: Object Detectors for Various Remote Sensing Techniques |
|---|---|
| Presentation Mode | Oral |
| Session Time | Tuesday, 30 July, 08:00 - 09:40 |
| Location | Room 315 |
| Session Chairs | Michal Shimoni, Koninklijke Militaire School and Stefania Matteoli, National Council of Research (CNR) |
| TU1.R5.1: TRANSFER LEARNING WITH SAS-IMAGE CONVOLUTIONAL NEURAL NETWORKS FOR IMPROVED UNDERWATER TARGET CLASSIFICATION |
| David Williams; NATO STO |
| TU1.R5.2: RECOGNIZING SUBMERGED MATERIALS WITH FLUORESCENCE LIDAR WITHOUT KNOWLEDGE OF ENVIRONMENTAL CONDITIONS |
| Stefania Matteoli; National Research Council of Italy |
| Giovanni Corsini; University of Pisa |
| Marco Diani; Italian Naval Academy |
| TU1.R5.3: DEEP-LEARNING FOR LOD1 BUILDING RECONSTRUCTION FROM AIRBORNE LIDAR DATA |
| Tee-Ann Teo; National Chiao Tung University |
| TU1.R5.4: DEVELOPMENT OF HIGH-PERFORMANCE DETECTOR TECHNOLOGY FOR UV AND IR APPLICATIONS |
| Ashok Sood; Magnolia Optical Technologies Inc. |
| John Zeller; Magnolia Optical Technologies Inc. |
| Parminder Ghuman; NASA Earth Sciences Technology |
| Sachidananda Babu; NASA Earth Sciences Technology |
| Nibir Dhar; U.S. Army Night Vision & Electronic Sensors Directorate |
| TU1.R5.5: AN AUTOMATIC TECHNIQUE FOR DECIDUOUS TREES DETECTION IN HIGH DENSITY LIDAR DATA BASED ON DELAUNAY TRIANGULATION |
| Daniele Marinelli; University of Trento |
| Claudia Paris; University of Trento |
| Lorenzo Bruzzone; University of Trento |