A multichannel temporally adaptive system for continuous cloud classification from satellite imagery Saitwal, Kishor ; Azimi-Sadjadi, Mahmood R. ; Reinke, Donald L. "This work was supported by the Department of Defense Center for Geoscience Atmospheric Research at Colorado State University under the Cooperative Agreement DAAL01-98-2-0078 with the Army Research Laboratory." A two-channel temporal updating system is presented, which accounts for feature changes in the visible and infrared satellite images. The system uses two probabilistic neural network classifiers and a context-based predictor to perform continuous cloud classification during the day and night. Test results for 27 h of continuous classification and updating are presented on a sequence of Geostationary Operational Environmental Satellite 8 images. Further test results of the system on two new sets of data with 1-2 weeks time difference are also presented that show the potential of this system as an operational continuous cloud classification system. Colorado State University. Libraries 2003 text ; image application/pdf ECEmra00036.pdf FACFECEN100516ARTI eng c2003 IEEE
A multichannel temporally adaptive system for continuous cloud classification from satellite imagery
Saitwal, Kishor ; Azimi-Sadjadi, Mahmood R. ; Reinke, Donald L.
"This work was supported by the Department of Defense Center for Geoscience Atmospheric Research at Colorado State University under the Cooperative Agreement DAAL01-98-2-0078 with the Army Research Laboratory."
A two-channel temporal updating system is presented, which accounts for feature changes in the visible and infrared satellite images. The system uses two probabilistic neural network classifiers and a context-based predictor to perform continuous cloud classification during the day and night. Test results for 27 h of continuous classification and updating are presented on a sequence of Geostationary Operational Environmental Satellite 8 images. Further test results of the system on two new sets of data with 1-2 weeks time difference are also presented that show the potential of this system as an operational continuous cloud classification system.
Colorado State University. Libraries
2003
text ; image
application/pdf
ECEmra00036.pdf
FACFECEN100516ARTI
eng
c2003 IEEE