SAM-9: Detection and Classification |
Session Type: Poster |
Time: Thursday, 10 June, 16:30 - 17:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Vincenzo Matta, University of Salerno |
SAM-9.1: TARGET DETECTION FROM DISTRIBUTED PASSIVE SENSORS: SEMI-LABELED DATA QUANTIZATION |
Zachariah Sutton; University of Connecticut |
Peter Willett; University of Connecticut |
Stefano Marano; University of Salerno |
SAM-9.2: SPARSE FACTORIZATION-BASED DETECTION OF OFF-THE-GRID MOVING TARGETS USING FMCW RADARS |
Gilles Monnoyer de Galland; Université catholique de Louvain |
Thomas Feuillen; Université catholique de Louvain |
Luc Vandendorpe; Université catholique de Louvain |
Laurent Jacques; Université catholique de Louvain |
SAM-9.3: A ROBUST COPULA MODEL FOR RADAR-BASED LANDMINE DETECTION |
Afief D. Pambudi; Technsiche Universität Darmstadt |
Fauzia Ahmad; Temple University |
Abdelhak M. Zoubir; Technische Universität Darmstadt |
SAM-9.4: RADAR CLUTTER CLASSIFICATION USING EXPECTATION-MAXIMIZATION METHOD |
Sudan Han; Defense Innovation Institute |
Pia Addabbo; Universitá degli studi Giustino Fortunato |
Danilo Orlando; Università degli Studi "Niccoò Cusano" |
Giuseppe Ricci; Università del Salento |
SAM-9.5: A META-LEARNING FRAMEWORK FOR FEW-SHOT CLASSIFICATION OF REMOTE SENSING SCENE |
Pei Zhang; Northwestern Polytechnical University |
Yunpeng Bai; Northwestern Polytechnical University |
Dong Wang; Northwestern Polytechnical University |
Bendu Bai; Xi’an University of Posts and Telecommunications |
Ying Li; Northwestern Polytechnical University |
SAM-9.6: DIFFERENTIAL CONVOLUTION FEATURE GUIDED DEEP MULTI-SCALE MULTIPLE INSTANCE LEARNING FOR AERIAL SCENE CLASSIFICATION |
Beichen Zhou; Wuhan University |
Jingjun Yi; Wuhan University |
Qi Bi; Wuhan University |