Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns

Jakob Hederich; Shreya Ghosh; Zeyu He; Prasenjit Mitra

IJCAI 2023poster0 citations

Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns

Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra

Abstract

We present a demonstration of nighttime light pattern (NTL) analysis system. Our tool named NightVIEW is powered by an efficient system architecture to easily export and analyse a huge volume of spatial data (NTL), image segmentation and clustering algorithms to find unusual NTL patterns and identify hotspots of excess night light usage as well as finding semantics of cities.

Data Mining: DM: Data visualizationData Mining: DM: ApplicationsData Mining: DM: Mining spatial and/or temporal data

BibTeX

@inproceedings{ijcai2023p833,
  title     = {Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns},
  author    = {Hederich, Jakob and Ghosh, Shreya and He, Zeyu and Mitra, Prasenjit},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {7131--7134},
  year      = {2023},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2023/833},
  url       = {https://doi.org/10.24963/ijcai.2023/833},
}