Development of cloud removal and land cover Change extraction algorithms for remotely-sensed Landsat imagery
Access Status
Open access
Authors
Usman, Ahmad Basyiruddin
Date
2011Supervisor
Prof. Peter Caccetta
Prof. Louis Caccetta
Type
Thesis
Award
MPhil
Metadata
Show full item recordSchool
Department of Mathematics and Statistics
Collection
Abstract
Land cover change monitoring requires the analysis of remotely-sensed data. In the tropics this is difficult because of persistent cloud cover, and data availability. This research focuses on the elimination of cloud cover as an important step towards addressing the issue of change detection. The result produced clearer images, whereas some persistent cloud remains. This persistent cloud and the cloud adjacency effects diminish the quality of image product and affect the change detection quality.
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