TH2.P9: UAV-based Multi-sensor Identification and Mapping of Surface and Buried Explosive Ordnance II
Thursday, 7 August, 10:30 - 11:45
Location: Plaza: Room P9
Session Type: Oral
Session Co-Chairs: Basani Lammy Nkuna, Agricultural Research Council and Emmett J. Ientilucci, Rochester Institute of Technology
Track: Community-Contributed Sessions
Thu, 7 Aug, 10:30 - 10:45

TH2.P9.1: A CUSTOMIZED NEURAL NETWORK MODEL FOR DETECTING FOREIGN OBJECT DEBRIS IN UAS-BORNE SAR IMAGES
Jingfeng Shan, Lapo Miccinesi, Alessandra Beni, Luca Bigazzi, Massimiliano Pieraccini, University of Florence, Italy
Thu, 7 Aug, 10:45 - 11:00

TH2.P9.2: UNCERTAINTY QUANTIFICATION IN SURFACE LANDMINES AND UXO CLASSIFICATION USING MC DROPOUT
Sagar Lekhak, Emmett J. Ientilucci, Dimah Dera, Rochester Institute of Technology, United States; Susmita Ghosh, Jadavpur University, India
Thu, 7 Aug, 11:00 - 11:15

TH2.P9.3: Sparse-Enhanced Dynamic Fusion Experts Network for Multi-modal Object Detection
zhenyu gao, xin wu, Beijing University of Posts and Telecommunications, China
Thu, 7 Aug, 11:15 - 11:30

TH2.P9.4: MINE DETECTION USING HSI FROM UAV/UGV: A BRIEF OVERVIEW OF POSSIBLE DIRECT AND INDIRECT APPROACHES
Rob Haelterman, Skralan Hosteaux, Charles Hamesse, Royal Military Academy, Belgium
Thu, 7 Aug, 11:30 - 11:45

TH2.P9.5: Identifying Diseased Maize Leaves in Mopani District, Limpopo: A UAV Multispectral Imaging Approach Using Vegetation Indices and Machine Learning
Basani Lammy Nkuna, Wonga Masiza, Johannes George Chirima, Solomon W. Newete, Agricultural Research Council, South Africa; Adriaan Johannes Van Der Walt, University of the Free State, South Africa; Adolph Nyamugama, , Agricultural Research Council, South Africa