Linear mixture modelling applied to ikonos data for mangrove mapping
Mixed pixels problem in remotely sensed satellite data often results in poor classification accuracy. However, high spatial resolution sensors such as IKONOS and QuickBird, are expected to classify mangrove species more accurately than conventional coarse spatial resolution satellite images. Neverth...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2005
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/4860/1/FRR2-2.pdf http://eprints.utm.my/id/eprint/4860/ http://www.proceedings.com/00856.html |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |