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2021 | OriginalPaper | Buchkapitel

Incorporating Domain Knowledge in Machine Learning for Satellite Image Processing

verfasst von : Ambily Pankajakshan, Malay Kumar Nema, Rituraj Kumar

Erschienen in: Advanced Computing

Verlag: Springer Singapore

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Abstract

This paper highlights the need for incorporation of domain knowledge in the context of satellite image processing. We take an application area of satellite image processing and make our assertion for incorporation of human domain knowledge. Traditionally, a machine learning based approach do not take general human intelligence into account for training and classification. We suggest to apply general human intelligence through suitable domain knowledge filters on the outcome of a deep classifier network. The results of processing become more suitable for human understanding and decision making after they pass through the domain knowledge-based filters. We devise intuitive filters (not an exhaustive set) and demonstrate the utility of incorporation of domain knowledge with the example of air traffic infrastructure.

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Titel: Incorporating Domain Knowledge in Machine Learning for Satellite Image Processing
verfasst von: Ambily Pankajakshan
Malay Kumar Nema
Rituraj Kumar
Verlag: Springer Singapore
Buch: Advanced Computing
Print ISBN: 978-981-16-0400-3

Electronic ISBN: 978-981-16-0401-0

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-16-0401-0_35

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