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Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns
June 05, 2023 Β· Declared Dead Β· π ECML/PKDD
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra
arXiv ID
2306.03195
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.IR,
cs.LG
Citations
0
Venue
ECML/PKDD
Last Checked
4 months ago
Abstract
We introduce NightPulse, 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, NightPulse 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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