Abstract
There is a growing interest in using general-purpose cameras to monitor a variety of physical phenomenon. In particular, a number of visibility camera networks have recently been deployed to complement traditional means for estimating atmospheric visibility. However, the images from these cameras have so far only been used to perform qualitative analysis. This work investigates image processing techniques for deriving quantitative measures of visibility from digital images in an automated fashion. Two methods are described, one which uses image contrast computed in the spatial domain and another which uses spectral energy computed in the frequency domain. Our quantitative measures are shown to correlate well with traditional measures of visibility from specialized equipment when evaluated using a ground-truth dataset from the Phoenix region.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Caimi, F., Kocak, D., Justak, J.: Remote visibility measurement technique using object plane data from digital image sensors. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 3288–3291 (2004)
Kim, K., Kim, Y.: Perceived visibility measurement using the HSI color different method. Journal of the Korean Physical Society 46, 1243–1250 (2005)
Baumer, D., Versick, S., Vogel, B.: Determination of the visibility using a digital panorama camera. Atmospheric Environment 42, 2593–2602 (2008)
Luo, C.H., Wen, C.Y., Yuan, C.S., Liaw, J.J., Lo, C.C., Chiu, S.H.: Investigation of urban atmospheric visibility by high-frequency extraction: Model development and field test. Atmospheric Environment 39, 2545–2552 (2005)
Raina, D.S., Parks, N.J., Li, W.W., Gray, R.W., Dattner, S.L.: Innovative monitoring of visibility using digital imaging technology in an arid urban environment. In: Regional and Global Perspectives on Haze: Causes, Consequences and Controversies Visibility Specialty Conference (2004)
Molenar, J.V., Cismoski, D.S., Schreiner, F., Malm, W.C.: Analysis of digital images from Grand Canyon, Great Smoky Mountains, and Fort Collins, Colorado. In: Regional and Global Perspectives on Haze: Causes, Consequences and Controversies Visibility Specialty Conference (2004)
Seinfeld, J., Pandis, S.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. Wiley, Chichester (2006)
Fedorov, D., Fonseca, L.M.G., Kenney, C., Manjunath, B.S.: Automatic registration and mosaicking system for remotely sensed imagery. In: SPIE 9th International Symposium on Remote Sensing (2002)
Krishnakumar, V., Venkatakrishnan, P.: Determination of the atmospheric point spread function by a parameter search. Astronomy & Astrophysics Supplement Series 126, 177 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xie, L., Chiu, A., Newsam, S. (2008). Estimating Atmospheric Visibility Using General-Purpose Cameras. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-89646-3_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89645-6
Online ISBN: 978-3-540-89646-3
eBook Packages: Computer ScienceComputer Science (R0)