Name
Abstract | ||
|---|---|---|
Cloud base height and volume estimation is needed in meteorology and other applications. We have deployed a pair of custom-designed Whole Sky Imagers, which capture stereo pictures of the sky at regular intervals. Using these images, we propose a method to create rough 3D models of the base of clouds, using feature point detection, matching, and triangulation. The novelty of our method lies in the fact that it locates the cloud base in all three dimensions, instead of only estimating cloud base height. For validation, we compare the results with measurements from weather radar. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICIP.2017.8296259 | 2017 IEEE International Conference on Image Processing (ICIP) |
Keywords | Field | DocType |
Ground-based sky camera,WAHRSIS,cloud base height,stereo reconstruction | Iterative reconstruction,Computer vision,Radar imaging,Weather radar,Stereoscopy,Computer science,Sky,Triangulation (social science),Artificial intelligence,Cloud base,Cloud computing | Conference |
ISSN | ISBN | Citations |
1522-4880 | 978-1-5090-2176-5 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian M. Savoy | 1 | 22 | 4.62 |
| Soumyabrata Dev | 2 | 62 | 13.94 |
| Yee Hui Lee | 3 | 10 | 3.78 |
| Stefan Winkler | 4 | 216 | 21.60 |