Technical Program

Session Detail

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 ChairsMichal 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