Identification of fog with NOAA AVHRR images

The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths. Attention is confined to daytime...

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Published inIEEE transactions on geoscience and remote sensing Vol. 29; no. 5; pp. 704 - 709
Main Authors Kudoh, J., Noguchi, S.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.09.1991
Institute of Electrical and Electronics Engineers
Subjects
atmospheric conditions
Atmospheric measurements
Atmospheric waves
Cloud physics
Earth, ocean, space
Exact sciences and technology
External geophysics
fog
Image analysis
Image color analysis
Image processing
Image resolution
Infrared sensors
Marine
marine transportation
Meteorology
oceanography
radiometers
Radiometry
remote sensing
safety
satellite sensing
satellites
Sea measurements
ships
Wavelength measurement
East Pacific
Pacific Ocean
Japan
INW, Japan
Sea surface
Image processing
Cloudiness
Satellite observation
Visibility
Remote sensing
Fog
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Abstract The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths. Attention is confined to daytime data from channel 1 (CH1), channel 3 (CH3), and channel 4 (CH4) for a detection range of lambda =0.58 approximately 0.68 mu m, lambda =3.55 approximately 3.93 mu m, and lambda =10.5 approximately 11.5 mu m, respectively. The authors have analyzed by image processing the data obtained from CH1, CH3, and CH4 by forming two- and three-dimensional histograms and enhancing them in color.< >
AbstractList Fog often occurs from June to September on the Pacific side of northern Japan. As a consequence of poor visibility, there are many disasters at sea. By identifying for using satellite data, accidents at sea could be reduced. In this paper, the authors attempted to identify for using image-processing data from the NOAA Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths.
The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths. Attention is confined to daytime data from channel 1 (CH1), channel 3 (CH3), and channel 4 (CH4) for a detection range of lambda=0.58~0.68 mum, lambda=3.55~3.93 mum, and lambda=10.5~11.5 mum, respectively. The authors have analyzed by image processing the data obtained from CH1, CH3, and CH4 by forming two- and three-dimensional histograms and enhancing them in color
The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths. Attention is confined to daytime data from channel 1 (CH1), channel 3 (CH3), and channel 4 (CH4) for a detection range of lambda =0.58 approximately 0.68 mu m, lambda =3.55 approximately 3.93 mu m, and lambda =10.5 approximately 11.5 mu m, respectively. The authors have analyzed by image processing the data obtained from CH1, CH3, and CH4 by forming two- and three-dimensional histograms and enhancing them in color.< >
The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR). AVHRR sensors measure radiation at visible, near-infrared, and infrared wavelengths. Attention is confined to daytime data from channel 1 (CH1), channel 3 (CH3), and channel 4 (CH4) for a detection range of lambda = 0.58-0.68 micron, lambda = 3.55-3.93 micron, and lambda = 10.5-11.5 micron, respectively. The authors use CH3 and CH4 because these channels contain the thermal information of such fog. The authors have analyzed by image processing the data obtained from CH1, CH3, and CH4 by forming two- and three-dimensional histograms and enhancing them in color. This analysis can serve as a preliminary guess for use by a nonmeteorologist to identify the regions of fog in this histogram. (I.E.)
Author Noguchi, S.
Kudoh, J.
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Cites_doi 10.1109/36.83988
10.1109/TGRS.1987.289815
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Issue 5
Keywords Sea surface
Image processing
Cloudiness
Satellite observation
Visibility
Remote sensing
Fog
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takagi (ref6) 1983
walker (ref14) 1988
akaeda (ref7) 1984; 30
kudoh (ref4) 1990
kaminaga (ref3) 1990
huschke (ref2) 1959
kudoh (ref10) 1990
kudoh (ref9) 1989; 18
ref8
lauritson (ref5) 1979
(ref1) 1982
hackforth (ref12) 1960
itakura (ref11) 1975; 58
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  doi: 10.1109/36.83988
– year: 1990
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  publication-title: ?roc 41th Annual Conventions ISP Japan
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– year: 1990
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  article-title: Automatic classification method for multiple images
  publication-title: ?roc 40th Annual Conventions ISP Japan
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Snippet The authors attempted to identify fog using image-processing data from the US National Oceanic and Atmospheric Administration (NOAA) Advanced Very High...
Fog often occurs from June to September on the Pacific side of northern Japan. As a consequence of poor visibility, there are many disasters at sea. By...
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SubjectTerms atmospheric conditions
Atmospheric measurements
Atmospheric waves
Cloud physics
Earth, ocean, space
Exact sciences and technology
External geophysics
fog
Image analysis
Image color analysis
Image processing
Image resolution
Infrared sensors
Marine
marine transportation
Meteorology
oceanography
radiometers
Radiometry
remote sensing
safety
satellite sensing
satellites
Sea measurements
ships
Wavelength measurement
Title Identification of fog with NOAA AVHRR images
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