| Full text | |
| Author(s): |
Vargas-Munoz, John E.
;
Marcos, Diego
;
Lobry, Sylvain
;
dos Santos, Jefersson A.
;
Falcao, Alexandre X.
;
Tuia, Devis
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; v. N/A, p. 4-pg., 2018-01-01. |
| Abstract | |
Mapping rural buildings in developing countries is crucial to monitor and plan in those vulnerable areas. Despite the existence of some rural building annotations in OpenStreetMap (OSM), those are of insufficient quantity and quality to train models able to map large areas accurately. In particular, these annotations are very often misaligned with respect to the buildings that are present in updated aerial imagery. We propose a Markov Random Field (MRF) method to correct misaligned rural building annotations. To do so, our method uses i) the correlation between candidate aligned OSM annotations and buildings roughly detected on aerial images and ii) the local consistency of the alignment vectors. (AU) | |
| FAPESP's process: | 16/14760-5 - Interactive Annotation of Remote Sensing Images |
| Grantee: | John Edgar Vargas Muñoz |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/10086-0 - Interactive rural building detection and delineation using remote sensing images |
| Grantee: | John Edgar Vargas Muñoz |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |