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Pollution detection by digital correlation of multispectral, stereo-image pairs
Abstract Remote detection of air pollution circulation patterns is proposed to eventually provide inputs for the prediction of hazardous surface concentrations in time for preventive emission control operations. Earth observations from space platforms will contain information on the height, mean velocity and lateral mixing scales of inversion layers and pollution plumes. Although this information is often not visible on photographs, it could conceivably be retrieved through a digital cross-correlation of multispectral stereo image pairs. Laboratory and field test results are used to illustrate the detection of non-visual inversion layers, the reduction of dominant signal interference, and the spectroscopic identification of combustion products.
Pollution detection by digital correlation of multispectral, stereo-image pairs
Abstract Remote detection of air pollution circulation patterns is proposed to eventually provide inputs for the prediction of hazardous surface concentrations in time for preventive emission control operations. Earth observations from space platforms will contain information on the height, mean velocity and lateral mixing scales of inversion layers and pollution plumes. Although this information is often not visible on photographs, it could conceivably be retrieved through a digital cross-correlation of multispectral stereo image pairs. Laboratory and field test results are used to illustrate the detection of non-visual inversion layers, the reduction of dominant signal interference, and the spectroscopic identification of combustion products.
Pollution detection by digital correlation of multispectral, stereo-image pairs
Krause, F.R. (author) / Betz, H.T. (author) / Lysobey, D.H. (author)
Atmospheric Environment ; 7 ; 455-476
1972-09-15
22 pages
Article (Journal)
Electronic Resource
English
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