Comparative analysis of product-level fusion, support vector machine, and artificial neural network approaches for land cover mapping
Increasing the accuracy of thematic maps generated using satellite imagery is a crucial task in remote sensing. In this study, a product-level fusion (PLF) approach based on integration of different land-type maps generated using various satellite-derived indices including normalized difference wate...
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| Main Authors: | , |
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| Format: | Article |
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Springer Verlag
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58092/ http://dx.doi.org/10.1007/s12517-015-1915-3 |
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