This article describes the use of a Bayesian network (BN) for the classification of land cover from satellite imagery in northern Swaziland. The main objective of this work was to apply and evaluate the efficacy of a BN for land-cover classification using gap-filled and terrain-corrected Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery acquired on 15 May 2007. The posterior probabilities (parameters) were estimated using the expectation-maximization (EM) and conjugate gradient descent (CGD) algorithms.
Search resultsShowing items 1 through 9 of 1.
Library ResourceJournal Articles & BooksDecember, 2011Eswatini
Land Library Search
Through our robust search engine, you can search for any item of the over 64,800 highly curated resources in the Land Library.
If you would like to find an overview of what is possible, feel free to peruse the Search Guide.