
Proceedings Paper
Mapping coral reef benthic cover with fused IKONOS imageryFormat | Member Price | Non-Member Price |
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Paper Abstract
In this article, we present some experiments on coral reef benthic cover mapping with fused IKONOS image. The
objective of our study is to establish an efficient approach for the classification task on hand. Four scenarios are designed
and in each scenario two classification methods (Maximum Likelihood and Decision Tree) are implemented. Ground
truth data is obtained through visual interpretation and manual digitization, against which accuracy of classification map
is calculated. Results indicate that mining spectral information deeply (scenario III and IV) can increase classification
accuracy dramatically. Compared with conventional utilization of spectral data (scenarioI), classification accuracy of ML
and DT respectively increases by 3.94% and 5.15% under scenario IV. However, when spectral and spatial information is
combined together (scenario II), accuracy of ML and DT is respectively reduced by 8.02% and 2.31%. It can be
concluded from our study that when classify benthic cover with high-resolution remote sensing data in pixel-based
pattern, utilization of spatial information should not be excessively emphasized. Fully exploiting spectral information
may bring more benefits. Moreover, DT is more robust and can produce more accurate classification results than ML.
Our results help scientists and managers in applying IKONOS-class data for coral reef mapping applications.
Paper Details
Date Published: 26 July 2007
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521F (26 July 2007); doi: 10.1117/12.760704
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521F (26 July 2007); doi: 10.1117/12.760704
Show Author Affiliations
Jing Li, Beijing Normal Univ. (China)
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
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