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Verification of image processing based visibility models

Larson, Susan M. and Cass, Glen R. and Hussey, Kevin J. and Luce, Frederick (1988) Verification of image processing based visibility models. Environmental Science and Technology, 22 (6). pp. 629-637. ISSN 0013-936X. http://resolver.caltech.edu/CaltechAUTHORS:20140702-134824867

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Abstract

Methods are presented for testing visibility models that use simulated photographs to display results of model calculations. An experimental protocol is developed and used to obtain input data including standard photographs of chosen scenes on a clear day and during a smog event at Pasadena, CA. With the clear day photograph as a substrate, pollutant properties measured on the smoggy day are introduced into the visibility model, and results of the model calculations are displayed as a synthetic photograph of the expected appearance of the smog event. Quantitative comparisons are made between the predicted and actual appearance of the smog event. Diagnostic techniques developed are applied to the visibility modeling procedure proposed by Malm et al. That model is shown to reproduce the contrast reduction characteristic of urban air pollution but produces synthetic photographs with sky elements that differ substantially from a real photograph of the actual smog event.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1021/es00171a003 DOIArticle
http://pubs.acs.org/doi/abs/10.1021/es00171a003PublisherArticle
Additional Information:© 1988 American Chemical Society. Received for review December 16, 1986. Accepted November 5, 1987. This research was supported by the California Air Resources Board under Agreement A2-077-32. We thank Shohreh Gharib for assistance with filter handling, Dana Brennen for preparation of distance images, Chris Tiller for help during the field experiments, and Kenneth McCue for help in constructing Figures 5 and 6. Assistance with the chemical analysis was rendered by James Huntzicker of the Oregon Graduate Center, Thomas Cahill and his staff at the University of California-Davis, and John Cooper of NEA Inc. The South Coast Air Quality Management District provided information on gaseous pollutant concentrations.
Group:Environmental Quality Laboratory
Funders:
Funding AgencyGrant Number
California Air Resources BoardA2-077-32
Other Numbering System:
Other Numbering System NameOther Numbering System ID
Environmental Quality LaboratoryA-220
Record Number:CaltechAUTHORS:20140702-134824867
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140702-134824867
Official Citation:Verification of image processing based visibility models Susan M. Larson, Glen R. Cass, Kevin J. Hussey, and Frederick. Luce Environmental Science & Technology 1988 22 (6), 629-637
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:46642
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Jul 2014 21:23
Last Modified:02 Jul 2014 21:30

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