@INPROCEEDINGS{rivas2010traditional,
author={Rivas-Perea, Pablo and Rosiles, Jose G. and Chacon, Mario}, 
booktitle={Image Analysis Interpretation (SSIAI), 2010 IEEE Southwest Symposium on}, 
title={Traditional and neural probabilistic multispectral image processing for the dust aerosol detection problem}, 
year={2010}, 
month={May}, 
pages={169-172}, 
keywords={aerosols;atmospheric techniques;dust;geophysical image processing;image classification;image segmentation;maximum likelihood estimation;neural nets;probability;remote sensing;MODIS multispectral band;NASA Terra satellite;atmospheric components;dust aerosol detection;image classification;image segmentation;maximum likelihood classifier;neural probabilistic multispectral image processing;probabilistic multispectral image analysis;probabilistic neural network model;Aerosols;Instruments;MODIS;Maximum likelihood detection;Multispectral imaging;NASA;Neural networks;Remote sensing;Satellites;Storms;Image processing;Maximum likelihood classification;Neural networks;Remote sensing}, 
doi={10.1109/SSIAI.2010.5483890},}