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Classification of multispectral remote sensing data using a back-propagation neural network
TLDR
The suitability of a back-propagation neural network for classification of multispectral image data is explored. Expand
  • 394
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Cloud-type discrimination via multispectral textural analysis
TLDR
A texture-based method for feature identification has been applied to the thermal channels of the NOAA Advanced Very High Resolution Radiometer data for cloud-type discrimination. Expand
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Identification Of Aerosol Features Such As Smoke And Dust, In NOAA-AVHRR Data Using Spatial Textures
  • N. Khazenie, T. F. Lee
  • Environmental Science
  • [Proceedings] IGARSS '92 International Geoscience…
  • 26 May 1992
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Cloud type discrimination via multispectral textural analysis
TLDR
A texture-based method for feature identification has been applied to the thermal channels of the NOAA-advanced very high resolution radiometer data for cloud type discrimination. Expand
  • 15
Detection of oil fire smoke over water in the Persian Gulf region
Smoke from the recent Kuwait oil fires and the regional dust storms, collectively referred to as aerosol features, attracted enormous attention among a wide variety of scientists andExpand
  • 11
Classification of Cloud Types Based on Spatial Textural Measures Using Noaa-Avhrr Data
TLDR
The United States Navy has a requirement for real time cloud analysis and classification as part of a nowcasting capability. Expand
  • 4
Spatial-Temp Oral Autocorrelated Model for Contextual Classification of Satellite Imagery
  • 3
Analysis of large multi-dimensional data with a backpropagation neural network
TLDR
The feasibility of using the neural network technique of backpropagation for analyzing the large multidimensional data acquired by satellites is discussed. Expand
  • 2
Comparison of Texture Analysis Techniques in Both Frequency and Spatial Domains for Cloud Feature Extraction
Abstract : Identification of cloud through cloud classification using satellite observations is yet to produce consistent and dependable results. Cloud types are too varied in their geophysicalExpand
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