Interactive rural building detection and delineation using remote sensing images

• Grant number: 17/10086-0
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: September 01, 2017
• End date: August 29, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Alexandre Xavier Falcão
• Grantee: John Edgar Vargas Muñoz
• Supervisor: Devis Tuia
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: 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

(4)

(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)

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. (14/12236-1, 16/14760-5, 17/10086-0)

SRIVASTAVA, SHIVANGI; VARGAS-MUNOZ, JOHN E.; SWINKELS, DAVID; TUIA, DEVIS; HU, Y; GAO, S; NEWSAM, S; LUNGA, D. Multi-label Building Functions Classification from Ground Pictures using Convolutional Neural Networks. PROCEEDINGS OF THE 2ND ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON AI FOR GEOGRAPHIC KNOWLEDGE DISCOVERY (GEOAI 2018), v. N/A, p. 4-pg., 2018-01-01. (17/10086-0)

VARGAS-MUNOZ, JOHN E.; MARCOS, DIEGO; LOBRY, SYLVAIN; DOS SANTOS, JEFERSSON A.; FALCAO, ALEXANDRE X.; TUIA, DEVIS; IEEE. CORRECTING MISALIGNED RURAL BUILDING ANNOTATIONS IN OPEN STREET MAP USING CONVOLUTIONAL NEURAL NETWORKS EVIDENCE. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (16/14760-5, 14/12236-1, 17/10086-0)

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. (16/14760-5, 17/10086-0)