Zobrazeno 1 - 10
of 11
pro vyhledávání: '"John E. Vargas-Munoz"'
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine 9 (2021) 1
IEEE Geoscience and Remote Sensing Magazine, 9(1), 184-199
IEEE Geoscience and Remote Sensing Magazine, 9(1), 184-199
OpenStreetMap (OSM) is a community-based, freely available, editable map service created as an alternative to authoritative sources. Given that it is edited mainly by volunteers with different mapping skills, the completeness and quality of its annot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d3868720b5006ed89e29a3068c8e74
Publikováno v:
IGARSS
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
The detection and counting of coconut trees in aerial images are important tasks for environment monitoring and post-disaster assessment. Recent deep-learning-based methods can attain accurate results, but they require a reasonably high number of ann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a56912064ef7c7035bf07c45f1fd7d
https://doi.org/10.1109/igarss.2019.8899005
https://doi.org/10.1109/igarss.2019.8899005
Autor:
Jefersson A. dos Santos, Anderson Rocha, Carlos Alfaro, John E. Vargas-Munoz, Anselmo Ferreira, Pablo Fonseca, Siovani Cintra Felipussi
Publikováno v:
IEEE Transactions on Image Processing. 25:4729-4742
The detection of copy–move image tampering is of paramount importance nowadays, mainly due to its potential use for misleading the opinion forming process of the general public. In this paper, we go beyond traditional forgery detectors and aim at c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::542babcc75a6a9523eaaa60664908aa9
https://doi.org/10.1109/tip.2016.2593583
https://doi.org/10.1109/tip.2016.2593583
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, 147, 283-293
ISPRS Journal of Photogrammetry and Remote Sensing 147 (2019)
ISPRS Journal of Photogrammetry and Remote Sensing 147 (2019)
Rural building mapping is paramount to support demographic studies and plan actions in response to crisis that affect those areas. Rural building annotations exist in OpenStreetMap (OSM), but their quality and quantity are not sufficient for training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7407300efa00813edfd92abd0753e79
http://arxiv.org/abs/1901.08190
http://arxiv.org/abs/1901.08190
Publikováno v:
Remote Sensing of Environment, 228, 129-143
Remote Sensing of Environment 228 (2019)
Remote Sensing of Environment 228 (2019)
Landuse characterization is important for urban planning. It is traditionally performed with field surveys or manual photo interpretation, two practices that are time-consuming and labor-intensive. Therefore, we aim to automate landuse mapping at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6534acf8b9db486126f0b92c14f39116
https://research.wur.nl/en/publications/understanding-urban-landuse-from-the-above-and-ground-perspective
https://research.wur.nl/en/publications/understanding-urban-landuse-from-the-above-and-ground-perspective
Autor:
Paulo A. V. Miranda, Alexandre X. Falcão, John E. Vargas-Munoz, Ananda S. Chowdhury, Felipe Lemes Galvão, Eduardo B. Alexandre
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Superpixel segmentation has emerged as an important research problem in the areas of image processing and computer vision. In this paper, we propose a framework, namely Iterative Spanning Forest (ISF), in which improved sets of connected superpixels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a73f9ab9c0e35dfe903b811b6d17c2
Autor:
Sylvain Lobry, Alexandre X. Falcão, Diego Marcos, Jefersson A. dos Santos, Devis Tuia, John E. Vargas-Munoz
Publikováno v:
IGARSS
2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings
2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings. IEEE Xplore
2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings
2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings. IEEE Xplore
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d39c7813ec369ad203b608ab389ce51
https://doi.org/10.1109/igarss.2018.8518711
https://doi.org/10.1109/igarss.2018.8518711
Publikováno v:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. New York: ACM
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
GeoAI@SIGSPATIAL
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
GeoAI@SIGSPATIAL
We approach the problem of multi building function classification for buildings from the city of Amsterdam using a collection of Google Street View (GSV) pictures acquired at multiple zoom levels (field of views, FoV) and the corresponding government
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f3ecd5e7e4d751d751b6ec63095cdf
https://research.wur.nl/en/publications/multi-label-building-functions-classification-from-ground-picture
https://research.wur.nl/en/publications/multi-label-building-functions-classification-from-ground-picture
Autor:
Nando Metzger, John E. Vargas-Muñoz, Rodrigo C. Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are
Externí odkaz:
https://doaj.org/article/b1ad6bc9985c430794187fb5863d9160
Publikováno v:
IGARSS
2017 IEEE International Geoscience and Remote Sensing Symposium. Fort Worth: Institute of Electrical and Electronics Engineers Inc.
2017 IEEE International Geoscience and Remote Sensing Symposium
2017 IEEE International Geoscience and Remote Sensing Symposium. Fort Worth: Institute of Electrical and Electronics Engineers Inc.
2017 IEEE International Geoscience and Remote Sensing Symposium
In this paper, we propose a post classification smoothing method aimed at improving the accuracy and visual appearance of sub-decimeter image classification results. Starting from the class confidence maps of a supervised classifier, we find a set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e1ac15649306586d074fa5974e2a0d
https://doi.org/10.1109/igarss.2017.8127799
https://doi.org/10.1109/igarss.2017.8127799