International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-4: Multi-applications of Image Segmentation II
Thu, 15 Jul, 11:00 - 12:10 (UTC)
Thu, 15 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Thu, 15 Jul, 07:00 - 08:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs: James Murphy, Tufts University and Krishna Karra, Impact Observatory
Session Manager: Marcel Stefko
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TH2.MM-4.2: Deep learning application for fracture segmentation over outcrop images from UAV-based digital photogrammetry

Ademir Marques Jr., Graciela Racolte, Unisinos University, Brazil; Eniuce de Souza, State University of Maringa, Brazil; Hiduino Domingos, Rafael Kenji Horota, João Gabriel Motta, Daniel Zanotta, Unisinos University, Brazil; Caroline Cazarin, Cenpes, Brazil; Luiz Gonzaga Jr, Maurício Veronez, Unisinos University, Brazil

TH2.MM-4.3: DEEP LEARNING AND GOOGLE EARTH ENGINE APPLIED TO MAPPING EUCALYPTUS

João Otavio Nascimento Firigato, José Marcato Junior, Universidade Federal de Mato Grosso do Sul, Brazil; Wesley Gonçalves, Federal University of Mato Grosso do Sul, Brazil; Vitor Matheus Bacani, Universidade Federal de Mato Grosso do Sul, Brazil

TH2.MM-4.5: Global land use / land cover with Sentinel 2 and deep learning

Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph Mazzariello, Mark Mathis, Steven Brumby, Impact Observatory, United States

TH2.MM-4.6: BUILDING FOOTPRINT EXTRACTION USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUES: EXPERIMENTS AND RESULTS

Philipe Borba, Felipe de Carvalho Diniz, Brazilian Army Geographic Service, Brazil; Nilton Correia da Silva, Edilson de Souza Bias, University of Brasilia, Brazil

TH2.MM-4.7: CORN CROPS IDENTIFICATION USING MULTISPECTRAL IMAGES FROM UNMANNED AIRCRAFT SYSTEMS

Fedra Trujillano, Pontifical Catholic University of Peru, Peru; Jessenia Gonzalez, Leipzig University, Germany; Carlos Saito, Andres Flores, Pontifical Catholic University of Peru, Peru; Daniel Racoceanu, Sorbonne University, France

TH2.MM-4.8: Evaluating Different Deep Learning Models for Automatic Water Segmentation

Thales Akiyama, José Marcato Junior, UFMS - Federal University of Mato Grosso do Sul., Brazil; Wesley Gonçalves, Federal University of Mato Grosso do Sul, Brazil; Mario Carvalho, UFMS - Federal University of Mato Grosso do Sul., Brazil; Anette Eltner, Technische Universität Dresden, Germany

TH2.MM-4.9: EXPLORING THE FUSION OF SENTINEL-1 SAR AND SENTINEL-2 MSI DATA FOR BUILT-UP AREA MAPPING USING DEEP LEARNING

Sebastian Hafner, Yifang Ban, Andrea Nascetti, KTH Royal Institute of Technology, Sweden