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Measuring Changes in Poverty with Deep Learning and Satellite Imagery

Kondmann, Lukas and Zhu, Xiao Xiang (2020) Measuring Changes in Poverty with Deep Learning and Satellite Imagery. ICLR Practical ML for Developing Countries Workshop, 2020-04-26, Addis Abeba, Äthophien.

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Item URL in elib:https://elib.dlr.de/137108/
Document Type:Conference or Workshop Item (Speech)
Title:Measuring Changes in Poverty with Deep Learning and Satellite Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kondmann, LukasUNSPECIFIEDhttps://orcid.org/0000-0002-2253-6936UNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDhttps://orcid.org/0000-0001-5530-3613UNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:Remote Sensing, Poverty Mapping, Change Detection
Event Title:ICLR Practical ML for Developing Countries Workshop
Event Location:Addis Abeba, Äthophien
Event Type:international Conference
Event Date:26 April 2020
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
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Kondmann, Lukas
Deposited On:09 Nov 2020 12:01
Last Modified:24 Apr 2024 20:39

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