Webcam2satellite: Estimating cloud maps from webcam imagery
Workshop Paper, IEEE Workshop on Applications of Computer Vision (WACV '13), pp. 214 - 221, January, 2013
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.
BibTeX
@workshop{Murdock-2013-126416,author = {Calvin Murdock and Nathan Jacobs and Robert Pless},
title = {Webcam2satellite: Estimating cloud maps from webcam imagery},
booktitle = {Proceedings of IEEE Workshop on Applications of Computer Vision (WACV '13)},
year = {2013},
month = {January},
pages = {214 - 221},
}
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