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Ulloa Torrealba, Yrneh Z. and Taubenböck, Hannes and Schmitt, Andreas (2022) EO-based garbage detection in complex urban environments - a case study in Medellin, Colombia. In: 2022 Joint Urban Remote Sensing Event (JURSE), pp. 1-4. Joint Urban Remote Sensing Event (JURSE) 2022, 2022-02-02 - 2022-02-04, Medellín, Colombia.
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Abstract
This work evaluates the possibility of detecting residual waste in an urban landscape in Medellín, Colombia, by a combination of a super-pixel segmentation and a supervised machine learning providing information for infrastructural services and serving as proxy for deprived areas
| Item URL in elib: | https://elib.dlr.de/188349/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | EO-based garbage detection in complex urban environments - a case study in Medellin, Colombia | ||||||||||||||||
| Authors: |
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| Date: | February 2022 | ||||||||||||||||
| Journal or Publication Title: | 2022 Joint Urban Remote Sensing Event (JURSE) | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| Page Range: | pp. 1-4 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Urban deprivation, residual waste, super-pixel segmentation, machine learning, Medellín | ||||||||||||||||
| Event Title: | Joint Urban Remote Sensing Event (JURSE) 2022 | ||||||||||||||||
| Event Location: | Medellín, Colombia | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 2 February 2022 | ||||||||||||||||
| Event End Date: | 4 February 2022 | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research, R - Geoscientific remote sensing and GIS methods | ||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security German Remote Sensing Data Center | ||||||||||||||||
| Deposited By: | Sapena Moll, Marta | ||||||||||||||||
| Deposited On: | 22 Sep 2022 09:56 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:49 |
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