期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2012
卷号：4
期号：3
出版社：School of Electrical Engineering and Informatics
摘要：Forested landscapes such as mangrove have drawn many attentions due to their importance in carbon stock. Many attempts were conducted to obtain suitable mangrove map using multi-spectral remote sensing imagery. However, atmospheric disturbance including cloud limits multi-spectral sensors. In many cases, observation through Synthetic Aperture Radar (SAR) is then required. In this research, C-, L- and P-band fully polarimetric SAR data were evaluated to provide a mangrove map exploiting Wishart classifier. Results indicated that Ceriops was the only distinguishable species at C-band. Observation using longer wavelengths (L- and P-bands) revealed fairly strong attenuation from soil background. However, overall accuracy suggested that P-band produced lowest classification error, hence it was suitable to produce a highly accurate map.
