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Interactive rural building detection and delineation using remote sensing images

Grant number: 17/10086-0
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): September 01, 2017
Effective date (End): August 29, 2018
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Alexandre Xavier Falcão
Grantee:John Edgar Vargas Muñoz
Supervisor abroad: Devis Tuia
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Local de pesquisa : Wageningen University, Netherlands  
Associated to the scholarship:16/14760-5 - Interactive annotation of remote sensing images, BP.DR

Abstract

The vast majority of human settlements have been annotated by some mapping service, like google, bing, or open street maps. However, several rural areas, specially in developing countries, are not annotated in any of the existing mapping services. Rural building mapping is important to support demographic studies and to plan actions in response to crises that affect those areas. In this project, we propose the study and development of image processing and machine learning methods for the detection and delineation of rural buildings in aerial images. Different from the annotation problem of urban constructions, rural buildings are sparsely located along large geographical areas and the amount of pre-annotated data is limited to create accurate predictive models. Hence, we propose the study and development of interactive techniques, which can iteratively improve performance as the number of supervised data increases. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SRIVASTAVA, SHIVANGI; VARGAS-MUNOZ, JOHN E.; TUIA, DEVIS. Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution. REMOTE SENSING OF ENVIRONMENT, v. 228, p. 129-143, JUL 2019. Web of Science Citations: 1.
VARGAS-MUNOZ, JOHN E.; LOBRY, SYLVAIN; FALCAO, ALEXANDRE X.; TUIA, DEVIS. Correcting rural building annotations in OpenStreetMap using convolutional neural networks. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 147, p. 283-293, JAN 2019. Web of Science Citations: 2.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.