Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Jakob Hederich
  • Shreya Ghosh
  • Zeyu He
  • Prasenjit Mitra

Research Organisations

External Research Organisations

  • Pennsylvania State University
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Details

Original languageEnglish
Title of host publicationMachine Learning and Knowledge Discovery in Databases
Subtitle of host publicationApplied Data Science and Demo Track
EditorsGianmarco De Francisci Morales, Francesco Bonchi, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages340-344
Number of pages5
ISBN (electronic)978-3-031-43430-3
ISBN (print)9783031434297
Publication statusPublished - 17 Sept 2023
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023 - Turin, Italy
Duration: 18 Sept 2023 → 22 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14175 LNAI
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

We introduce NightVIEW, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data with a user-friendly platform. Powered by efficient system architecture, NightVIEW supports image segmentation, clustering, and change pattern detection to identify urban development and sprawl patterns. It captures temporal trends of NTL and semantics of cities, answering questions about demographic factors, city boundaries, and unusual differences.

Keywords

    Night-time light (NTL), pattern mining, Visualization

ASJC Scopus subject areas

Cite this

Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. / Hederich, Jakob; Ghosh, Shreya; He, Zeyu et al.
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track . ed. / Gianmarco De Francisci Morales; Francesco Bonchi; Claudia Perlich; Natali Ruchansky; Nicolas Kourtellis; Elena Baralis. Springer Science and Business Media Deutschland GmbH, 2023. p. 340-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14175 LNAI).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Hederich, J, Ghosh, S, He, Z & Mitra, P 2023, Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. in G De Francisci Morales, F Bonchi, C Perlich, N Ruchansky, N Kourtellis & E Baralis (eds), Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14175 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 340-344, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, Turin, Italy, 18 Sept 2023. https://doi.org/10.48550/arXiv.2306.03195, https://doi.org/10.1007/978-3-031-43430-3_27
Hederich, J., Ghosh, S., He, Z., & Mitra, P. (2023). Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. In G. De Francisci Morales, F. Bonchi, C. Perlich, N. Ruchansky, N. Kourtellis, & E. Baralis (Eds.), Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track (pp. 340-344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14175 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.48550/arXiv.2306.03195, https://doi.org/10.1007/978-3-031-43430-3_27
Hederich J, Ghosh S, He Z, Mitra P. Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. In De Francisci Morales G, Bonchi F, Perlich C, Ruchansky N, Kourtellis N, Baralis E, editors, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track . Springer Science and Business Media Deutschland GmbH. 2023. p. 340-344. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.48550/arXiv.2306.03195, 10.1007/978-3-031-43430-3_27
Hederich, Jakob ; Ghosh, Shreya ; He, Zeyu et al. / Lumos in the Night Sky : AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track . editor / Gianmarco De Francisci Morales ; Francesco Bonchi ; Claudia Perlich ; Natali Ruchansky ; Nicolas Kourtellis ; Elena Baralis. Springer Science and Business Media Deutschland GmbH, 2023. pp. 340-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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title = "Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns",
abstract = "We introduce NightVIEW, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data with a user-friendly platform. Powered by efficient system architecture, NightVIEW supports image segmentation, clustering, and change pattern detection to identify urban development and sprawl patterns. It captures temporal trends of NTL and semantics of cities, answering questions about demographic factors, city boundaries, and unusual differences.",
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Download

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AU - Ghosh, Shreya

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AU - Mitra, Prasenjit

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