Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping
High spatial resolution sensors such as IKONOS and QuickBird, are expected to classify mangrove species more accurately than coarse spatial resolution satellite images. Conventional per-pixel classification techniques could not improve the classification accuracy when such high-resolution images are...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
2007
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/4858/1/mangrove_paper_kasturi.pdf http://eprints.utm.my/id/eprint/4858/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |