Referenced Items are not available for this document.
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.
Published in:
Geoscience and Remote Sensing, IEEE Transactions on
(Volume:41
,
Issue:
5
)
Date of Publication: May 2003
- Page(s):
- 1098 - 1104
- ISSN :
- 0196-2892
- INSPEC Accession Number:
- 7682240
- Digital Object Identifier :
- 10.1109/TGRS.2003.813550
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 25 June 2003
- Issue Date :
- May 2003
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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