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Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient

2020; Taylor & Francis; Linguagem: Inglês

10.1080/13658816.2020.1814303

1365-8824

John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão,

Automated Road and Building Extraction

John E. Vargas Muñoza*, Devis Tuiab & Alexandre X. Falcãoaa Laboratory of Image Data Science, Institute of Computing University of Campinas, Campinas, Brazilb Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Wageningen, The NetherlandsJohn E. Vargas Muñoz received the B.Sc. degree in informatics engineering from the National University of San Antonio Abad in Cusco, Cusco, Peru, in 2010, and the master's degree in computer science from the University of Campinas, Campinas, Brazil, in 2015. During 2017-2018, he worked on applications of machine learning to open geographical data, as a visiting Ph.D. student, in the Laboratory of Geo-information Science and Remote Sensing at Wageningen University, the Netherlands. In 2019, he received a Ph.D. in computer science from the University of Campinas, Campinas, Brazil. His research interests include machine learning, image processing, remote sensing image classification, and crowdsourced geographic information analysis.Devis Tuia (S'07, M'09, SM'15) received the Ph.D in environmental sciences at the University of Lausanne, Switzerland, in 2009. He was a Postdoc at the University of Valencia, the University of Colorado, Boulder, CO and EPFL Lausanne. Between 2014 and 2017, he was Assistant Professor at the University of Zurich. He is now Full Professor at the Geo-Information Science and Remote Sensing Laboratory at Wageningen University, the Netherlands. He is interested in algorithms for information extraction and data fusion of geospatial data (including remote sensing) using machine learning and computer vision. He serves as Associate Editor for IEEE TGRS and the Journal of the ISPRS. More info on http://devis.tuia.googlepages.com/Alexandre X. Falcão is full professor at the Institute of Computing, University of Campinas, Campinas, SP, Brazil. He received a B.Sc. in Electrical Engineering from the Federal University of Pernambuco, Recife, PE, Brazil, in 1988. He has worked in biomedical image processing, visualization and analysis since 1991. In 1993, he received a M.Sc. in Electrical Engineering from the University of Campinas, Campinas, SP, Brazil. During 1994-1996, he worked with the Medical Image Processing Group at the Department of Radiology, University of Pennsylvania, PA, USA, on interactive image segmentation for his doctorate. He got his doctorate in Electrical Engineering from the University of Campinas in 1996. In 1997, he worked in a project for Globo TV at a research center, CPqD-TELEBRAS in Campinas, developing methods for video quality assessment. His experience as professor of Computer Science and Engineering started in 1998 at the University of Campinas. His main research interests include image/video processing, visualization, and analysis; graph algorithms and dynamic programming; image annotation, organization, and retrieval; machine learning and pattern recognition; and image analysis applications in Biology, Medicine, Biometrics, Geology, and Agriculture.