Identification Of Aerosol Features Such As Smoke And Dust, In NOAA-AVHRR Data Using Spatial Textures

@article{Khazenie1992IdentificationOA,
  title={Identification Of Aerosol Features Such As Smoke And Dust, In NOAA-AVHRR Data Using Spatial Textures},
  author={N. Khazenie and T. F. Lee},
  journal={[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium},
  year={1992},
  volume={1},
  pages={726-730}
}
  • N. Khazenie, T. F. Lee
  • Published 1992
  • Environmental Science
  • [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium
11 Citations

Figures from this paper

Remote sensing of atmospheric aerosol distributions using supervised texture classification
  • 2
  • Highly Influenced
  • PDF
A Classic and Neural Probabilistic Approach to the Dust Storm Detection Problem
  • 1
  • PDF
Statistical and neural pattern recognition methods for dust aerosol detection
  • 7
  • PDF
Automated detection of dust clouds and sources in NOAA-AVHRR satellite imagery
  • 2
A Probabilistic Model for Stratospheric Soil-Independent Dust Aerosol Detection
  • 4
  • PDF
Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data
  • 14
  • PDF
Traditional and neural probabilistic multispectral image processing for the dust aerosol detection problem
  • 7
  • PDF
...
1
2
...

References

SHOWING 1-10 OF 12 REFERENCES
Environmental effects from burning oil wells in Kuwait
  • 70
Satellite Observations of Smoke from Oil Fires in Kuwait
  • 17
Multichannel Texture Analysis Using Localized Spatial Filters
  • 1,643
  • PDF
Atmospheric effects from post-nuclear fires
  • 82
Radiative Heating Rates for Saharan Dust
  • 321
...
1
2
...