THP1.PE: UAV-based Multi-sensor Identification and Mapping of Surface and Buried Explosive Ordnance I
Thursday, 7 August, 09:15 - 10:30
Location: Poster Area
Session Type: Poster
Track: Community-Contributed Sessions
Poster Area

THP1.PE.1: 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
Poster Area

THP1.PE.2: EXPLORING AN OBJECT-BASED IMAGE CLASSIFICATION STRATEGY FOR DISTINGUISHING AND MAPPING SWEET-POTATO BREEDING LINES USING UAV MULTISPECTRAL DATA
Natasha Tshuma, Philemon Tsele, University of Pretoria, South Africa; Abel Ramoelo, South African National Space Agency, South Africa; Lucy Moleleki, University of Pretoria, South Africa; Sunette Laurie, Agricultural Research Council, South Africa; Whelma Mpela, Innovation Africa, South Africa
Poster Area

THP1.PE.3: ACCURATE GEO-REGISTRATION AND IMAGE RE-PROJECTION TO SUPPORT MULTI-SENSOR DATA FUSION
Nick Howden, Raytheon, United Kingdom
Poster Area

THP1.PE.4: IMAGE RECONSTRUCTION FOR HYPERSPECTRAL PUSHBROOM CAMERAS USING VISUAL-INERTIAL SLAM
Charles Hamesse, Hannes De Meulemeester, Skralan Hosteaux, Rob Haelterman, Royal Military Academy, Belgium