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Atmospheric measurements, Geophysical measurements,
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Chemicals, Hyperspectral imaging, Object detection,
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1711
Aerosols, Clouds, Minerals, Oceans, Satellites, Sea measurements,
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1810
Laser radar, Volcanic ash, Backscatter, Aerosols, Explosives,
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1812
Data models, Satellites, Clouds, Atmospheric modeling, Indexes,
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Aerosols, Asia, Loading, Market research, Laser radar, Minerals,
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IEEE DOI
1512
Feature extraction, Kernel, Mars, Monitoring, Satellites, Storms,
Training, Mars, decision level fusion.
Mars; decision level fusion; detection; dust storm; heterogeneous data
BibRef
Xiao, F.,
Shea, G.Y.K.,
Wong, M.S.,
Campbell, J.,
An automated and integrated framework for dust storm detection based on
OGC web processing services,
Geospatial14(151-156).
DOI Link
1411
BibRef
Okuda, W.,
Kusaka, T.,
The Visualization Method of the 3D Concentration Distribution of Asian
Dust in the Google Earth,
ISPRS12(XXXIX-B4:331-334).
DOI Link
1209
BibRef
Rivas-Perea, P.,
Rosiles, J.G.,
Chacon, M.I.M.,
Traditional and neural probabilistic multispectral image processing for
the dust aerosol detection problem,
Southwest10(169-172).
IEEE DOI
1005
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Ionosphere, Ionosphere Tomography, Reflections, Ionospheric Effects .