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Erschienen in:
Optimization of Row Pattern Matching over Sequence Data in Spark SQL Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Rainfall Estimation from Traffic Cameras

verfasst von : Remmy Zen, Dewa Made Sri Arsa, Ruixi Zhang, Ngurah Agus Sanjaya ER, Stéphane Bressan

Erschienen in: Database and Expert Systems Applications

Verlag: Springer International Publishing

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Abstract

We propose and evaluate a method for the estimation of rainfall from images from a network of traffic cameras and rain gauges. The method trains a neural network for each camera under the supervision of the rain gauges and interpolates the results to estimate rainfall at any location. We study and evaluate variants of the method that exploit feature extraction and various interpolation methods. We empirically and comparatively demonstrate the superiority of a hybrid approach and of the inverse distance weighting interpolation for an existing comprehensive network of publicly accessible weather stations and traffic cameras.

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Vorheriges Kapitel Optimization of Row Pattern Matching over Sequence Data in Spark SQL
Nächstes Kapitel Towards Identifying De-anonymisation Risks in Distributed Health Data Silos
Fußnoten
1
For this work, we neither consider the temporal sequences of measurements nor the sequence of images.
 
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Metadaten
Titel
Rainfall Estimation from Traffic Cameras
verfasst von
Remmy Zen
Dewa Made Sri Arsa
Ruixi Zhang
Ngurah Agus Sanjaya ER
Stéphane Bressan
Copyright-Jahr
2019
Buch
Database and Expert Systems Applications

Print ISBN: 978-3-030-27614-0

Electronic ISBN: 978-3-030-27615-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-27615-7_2

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