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 Standard Time (UTC -4)
Session Co-Chairs: James Murphy, Tufts University and Krishna Karra, Impact Observatory
Session Manager: Jay Potnis
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 Horota, João 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, Wesley Nunes Gonçalves, 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, Wesley Gonçalves, 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