# Aerial imagery segmentation of natural disaster-affected areas using deep convolutional networks for disaster assessment
> Nugraha D.W.

URL kanonis: https://discover.unhas.ac.id/publications/aerial-imagery-segmentation-of-natural-disaster-affected-areas-using-deep-convol
Jurnal / Konferensi: Aip Conference Proceedings
Tahun terbit: 2024
DOI: https://doi.org/10.1063/5.0211995
ISSN: 0094243X
Citations: 1

## Authors
- Nugraha D.W.

## Abstract
Sourced directly from Elsevier Scopus. No OpenAlex abstract available.

## Keywords
- Natural disaster
- Aerial imagery
- Computer science
- Segmentation
- Artificial intelligence
- Natural (archaeology)
- Convolutional neural network
- Remote sensing
- Cartography
- Geography
- Meteorology
- Archaeology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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