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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Autoren

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

Organisationseinheiten

Externe Organisationen

  • Pennsylvania State University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksMachine Learning and Knowledge Discovery in Databases
UntertitelApplied Data Science and Demo Track
Herausgeber/-innenGianmarco De Francisci Morales, Francesco Bonchi, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten340-344
Seitenumfang5
ISBN (elektronisch)978-3-031-43430-3
ISBN (Print)9783031434297
PublikationsstatusVeröffentlicht - 17 Sept. 2023
VeranstaltungEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023 - Turin, Italien
Dauer: 18 Sept. 2023 → 22 Sept. 2023

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band14175 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)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.

ASJC Scopus Sachgebiete

Zitieren

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 . Hrsg. / Gianmarco De Francisci Morales; Francesco Bonchi; Claudia Perlich; Natali Ruchansky; Nicolas Kourtellis; Elena Baralis. Springer Science and Business Media Deutschland GmbH, 2023. S. 340-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14175 LNAI).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 (Hrsg.), 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), Bd. 14175 LNAI, Springer Science and Business Media Deutschland GmbH, S. 340-344, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, Turin, Italien, 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 (Hrsg.), Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track (S. 340-344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 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, Hrsg., Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track . Springer Science and Business Media Deutschland GmbH. 2023. S. 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 . Hrsg. / Gianmarco De Francisci Morales ; Francesco Bonchi ; Claudia Perlich ; Natali Ruchansky ; Nicolas Kourtellis ; Elena Baralis. Springer Science and Business Media Deutschland GmbH, 2023. S. 340-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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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.",
keywords = "Night-time light (NTL), pattern mining, Visualization",
author = "Jakob Hederich and Shreya Ghosh and Zeyu He and Prasenjit Mitra",
note = "Funding Information: This research was funded by the Federal Ministry of Education and Research (BMBF), Germany under the project LeibnizKILabor with grant No. 01DD20003. ; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023 ; Conference date: 18-09-2023 Through 22-09-2023",
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booktitle = "Machine Learning and Knowledge Discovery in Databases",
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Download

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T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023

AU - Hederich, Jakob

AU - Ghosh, Shreya

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AU - Mitra, Prasenjit

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AB - 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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