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2024 | OriginalPaper | Buchkapitel

9. Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks

verfasst von : Henri Debray, Monika Kuffer, Christien Klaufus, Claudio Persello, Michael Wurm, Hannes Taubenböck, Karin Pfeffer

Erschienen in: Urban Inequalities from Space

Verlag: Springer International Publishing

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Abstract

Lima, Peru, is a highly dynamic urban region home to perpetually evolving informal areas. Earth observation (EO) studies on these areas focused almost solely on their inhabited parts, the informal housing. In this study, we propose to extend the focus to another component of the informal settlements: informal graveyards. Their emerging morphologies in Lima are similar to informal housing, making this particular distinction challenging. Furthermore, both graveyards and housing typically experience joint, intertwined spatial development. The adjacency of graveyards and informal housing causes social and public health risks. Therefore, detection of boundaries between graveyards and adjacent (in)formal housing is essential, e.g. as an information basis for preventing the spread of diseases and supporting public health and safety in general. However, housing invasions on burial grounds have not yet been systematically monitored. Therefore, this study aims to develop a method for the distinction of graveyards from (in)formal housing. We combined anthropological field observations with fully convolutional networks (FCNs) with dilated convolution of increasing spatial kernels to acquire features of deep level of abstraction on Pleiades optical satellite images. The trained neural network developed reaches good accuracies in mapping informal graveyards, (in)formal housing, and non-built areas with an average F1 score of 0.878.

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Titel: Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks
verfasst von: Henri Debray
Monika Kuffer
Christien Klaufus
Claudio Persello
Michael Wurm
Hannes Taubenböck
Karin Pfeffer
Verlag: Springer International Publishing
Buch: Urban Inequalities from Space
Print ISBN: 978-3-031-49182-5

Electronic ISBN: 978-3-031-49183-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-49183-2_9

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