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Classification of multispectral remote sensing data using a back-propagation neural network
The suitability of a back-propagation neural network for classification of multispectral image data is explored. A methodology is developed for selection of both training parameters and data sets for…
Spatial-temporal Autocorrelated Model For Contextual Classification
Cloud-type discrimination via multispectral textural analysis
A texture-based method for feature identification has been investigated and results show that additional texture information improves discrimination between cloud types (especially thin cirrus).
Identification Of Aerosol Features Such As Smoke And Dust, In NOAA-AVHRR Data Using Spatial Textures
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 and…
Cloud type discrimination via multispectral textural analysis
- Niloufar Lamei, M. Crawford, K. Hutchison, N. Khazenie
- Environmental Science, MathematicsDefense, Security, and Sensing
- 15 September 1993
A texture-based method for feature identification has been investigated and the new method has been applied to the thermal channels of the NOAA-advanced very high resolution radiometer (AVHRR) data for cloud type discrimination.
Classification of Cloud Types Based on Spatial Textural Measures Using Noaa-Avhrr Data
- N. Khazenie, K. Richardson
- Mathematics, Environmental Science[Proceedings] IGARSS'91 Remote Sensing: Global…
- 3 June 1991
The United States Navy has a requirement for real time cloud analysis and classification as part of a nowcasting capability. The use of texture me asures in addition to standard Advanced Very High…
Spatial-Temp Oral Autocorrelated Model for Contextual Classification of Satellite Imagery
Analysis of large multi-dimensional data with a backpropagation neural network
- P. D. Heermann, N. Khazenie
- Computer ScienceIJCNN International Joint Conference on Neural…
- 17 June 1990
The feasibility of using the neural network technique of backpropagation for analyzing the large multidimensional data acquired by satellites is discussed and a technique for proper selection and preprocessing of the data is developed to provide a good training set.
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 geophysical…