ML Anthology

Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery

Calvin Murdock, Nathan Jacobs, Robert Pless
WACV 2013 pp. 214-221
doi:10.1109/WACV.2013.6475021 /wacv/2013/murdock2013wacv-webcam/

Abstract

We consider the problem of estimating the current satellite cloud map from a collection of broadly distributed, ground-based webcams. The approach uses historical, geo-referenced satellite imagery to learn a mapping between the satellite image and the ground imagery. We explore representational choices for inferring the cloud status based on the ground-level imagery and consider several alternatives for spatially interpolating these sparse measurements to give a complete map. Proof of concept results show that this gives plausible estimates of satellite imagery.

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Cite

Text

Murdock et al. "Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475021

Markdown

[Murdock et al. "Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/murdock2013wacv-webcam/) doi:10.1109/WACV.2013.6475021

BibTeX

@inproceedings{murdock2013wacv-webcam,
  title     = {{Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery}},
  author    = {Murdock, Calvin and Jacobs, Nathan and Pless, Robert},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2013},
  pages     = {214-221},
  doi       = {10.1109/WACV.2013.6475021},
  url       = {https://mlanthology.org/wacv/2013/murdock2013wacv-webcam/}
}